Instructions to use Jose-Ribeir/second_try with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jose-Ribeir/second_try with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Jose-Ribeir/second_try")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Jose-Ribeir/second_try") model = AutoModelForQuestionAnswering.from_pretrained("Jose-Ribeir/second_try", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Jose-Ribeir/second_try: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/Jose-Ribeir/second_try/resolve/main/model.safetensors
- Command line
-
hf download hf://Jose-Ribeir/second_try/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Jose-Ribeir/second_try/resolve/main/model.safetensors
496 MB
- Xet hash:
- ad7018863f57dea3483440e03c9b04ec4b8eed041dce92bd7204b876c3540de6
- Size of remote file:
- 496 MB
- SHA256:
- 55dcfb4c9ddc1c4a79be45549882a4c46dc9797cd7829845c67477f86b5b310a
路
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