Instructions to use nlpunibo/distilbert_base_config2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpunibo/distilbert_base_config2 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="nlpunibo/distilbert_base_config2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("nlpunibo/distilbert_base_config2") model = AutoModelForQuestionAnswering.from_pretrained("nlpunibo/distilbert_base_config2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nlpunibo/distilbert_base_config2: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/nlpunibo/distilbert_base_config2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nlpunibo/distilbert_base_config2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nlpunibo/distilbert_base_config2/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- fa475ca8e675d90295e9cd5c155d7f98c61920830d73b92ec79967e516f2d0a1
- Size of remote file:
- 265 MB
- SHA256:
- 43815d14cb93127598fbe65d976cc13d308dc73ef54cdeac85a4c643dcec3e44
路
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