Text Classification
Transformers
Safetensors
English
llama
text-generation
text-embeddings-inference
Instructions to use netcat420/MFANNv0.11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use netcat420/MFANNv0.11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="netcat420/MFANNv0.11")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("netcat420/MFANNv0.11") model = AutoModelForCausalLM.from_pretrained("netcat420/MFANNv0.11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from netcat420/MFANNv0.11: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
-
https://huggingface.co/netcat420/MFANNv0.11/resolve/b3f9a14465a587ebba8e0bb55b3a49400ca4b890/generation_config.json
- Command line
-
hf download hf://netcat420/MFANNv0.11@b3f9a14465a587ebba8e0bb55b3a49400ca4b890/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/netcat420/MFANNv0.11/resolve/b3f9a14465a587ebba8e0bb55b3a49400ca4b890/generation_config.json
169 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 128001, | |
| 128009 | |
| ], | |
| "transformers_version": "4.40.0.dev0" | |
| } | |