Instructions to use Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES")
model = AutoModelForCausalLM.from_pretrained("Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES

SGLang

How to use Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES with Docker Model Runner:
```
docker model run hf.co/Andrescotton/CHECHU_SE_SACA_FOTOS_EN_LUGARES
```

Andrescotton commited on Nov 25, 2023

Commit

888bbf0

1 Parent(s): 558e866

End of training

Browse files

Files changed (4) hide show

README.md +4 -4
model.safetensors +1 -1
runs/Nov25_16-03-46_36f260d4eb15/events.out.tfevents.1700928229.36f260d4eb15.889.2 +3 -0
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.8404
 ## Model description
@@ -46,9 +46,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 5.0494        | 1.0   | 40   | 4.9529          |
-| 4.632         | 2.0   | 80   | 4.8656          |
-| 4.4163        | 3.0   | 120  | 4.8404          |
 ### Framework versions

 This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.9305
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 0.9507        | 1.0   | 232  | 0.9489          |
+| 0.85          | 2.0   | 464  | 0.9294          |
+| 0.7755        | 3.0   | 696  | 0.9305          |
 ### Framework versions

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29953e4f53a7663041f9fe522832c0c1cd7d547b0821575823bfc3c977a3c133
 size 497774208

 version https://git-lfs.github.com/spec/v1
+oid sha256:3ef977ea412e31850fd5cb6307f3fab202fcf90d66dd167dc78a72556000b71c
 size 497774208

runs/Nov25_16-03-46_36f260d4eb15/events.out.tfevents.1700928229.36f260d4eb15.889.2 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:dc2ed2f64e6631ed50222ee4868b4b3176f3d48de5212f53fbdfc672f656325e
+size 27454

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d30dc1d2826a3c28837e8351530f96216f6eafd61a563f59f36da15eb5162b43
 size 4600

 version https://git-lfs.github.com/spec/v1
+oid sha256:71657bd16d6ff11e5b4cecbefd679d82a04043a248f194e6f1a8f943048c8758
 size 4600