Instructions to use EddyGiusepe/tinyllama-ItauPortuguese-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use EddyGiusepe/tinyllama-ItauPortuguese-lora with Transformers:

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

pipe = pipeline("text-generation", model="EddyGiusepe/tinyllama-ItauPortuguese-lora")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("EddyGiusepe/tinyllama-ItauPortuguese-lora")
model = AutoModelForCausalLM.from_pretrained("EddyGiusepe/tinyllama-ItauPortuguese-lora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use EddyGiusepe/tinyllama-ItauPortuguese-lora with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/EddyGiusepe/tinyllama-ItauPortuguese-lora

SGLang

How to use EddyGiusepe/tinyllama-ItauPortuguese-lora 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 "EddyGiusepe/tinyllama-ItauPortuguese-lora" \
    --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": "EddyGiusepe/tinyllama-ItauPortuguese-lora",
		"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 "EddyGiusepe/tinyllama-ItauPortuguese-lora" \
        --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": "EddyGiusepe/tinyllama-ItauPortuguese-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use EddyGiusepe/tinyllama-ItauPortuguese-lora with Docker Model Runner:
```
docker model run hf.co/EddyGiusepe/tinyllama-ItauPortuguese-lora
```

EddyGiusepe commited on Jan 25, 2024

Commit

487d93c

verified ·

1 Parent(s): ed0b877

Upload tokenizer

Browse files

Files changed (3) hide show

special_tokens_map.json +7 -1
tokenizer.json +1 -6
tokenizer_config.json +1 -1

special_tokens_map.json CHANGED Viewed

@@ -13,7 +13,13 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": "</s>",
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,

     "rstrip": false,
     "single_word": false
   },
+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": true,
+    "single_word": false
+  },
   "unk_token": {
     "content": "<unk>",
     "lstrip": false,

tokenizer.json CHANGED Viewed

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 1024,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
   "padding": null,
   "added_tokens": [
     {

 {
   "version": "1.0",
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

tokenizer_config.json CHANGED Viewed

@@ -55,7 +55,7 @@
   "eos_token": "</s>",
   "legacy": false,
   "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "</s>",
   "padding_side": "right",
   "sp_model_kwargs": {},
   "tokenizer_class": "LlamaTokenizer",

   "eos_token": "</s>",
   "legacy": false,
   "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
   "padding_side": "right",
   "sp_model_kwargs": {},
   "tokenizer_class": "LlamaTokenizer",