Instructions to use lennonssss/TP_NLP_Lennon_Chaves with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lennonssss/TP_NLP_Lennon_Chaves with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lennonssss/TP_NLP_Lennon_Chaves") model = AutoModel.from_pretrained("lennonssss/TP_NLP_Lennon_Chaves", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from lennonssss/TP_NLP_Lennon_Chaves: direct link, hf CLI and curl.
- Browser
- Download file 213 Bytes
-
https://huggingface.co/lennonssss/TP_NLP_Lennon_Chaves/resolve/main/config.json
- Command line
-
hf download hf://lennonssss/TP_NLP_Lennon_Chaves/config.json
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curl -L -o config.json https://huggingface.co/lennonssss/TP_NLP_Lennon_Chaves/resolve/main/config.json
213 Bytes
| { | |
| "architectures": [ | |
| "LLaMAModel" | |
| ], | |
| "d_model": 128, | |
| "model_type": "llama", | |
| "num_heads": 4, | |
| "num_layers": 2, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2", | |
| "vocab_size": 50257 | |
| } | |