Instructions to use 9au5a/nlpandweb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 9au5a/nlpandweb 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="9au5a/nlpandweb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("9au5a/nlpandweb") model = AutoModelForQuestionAnswering.from_pretrained("9au5a/nlpandweb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-2000/tokenizer.json from 9au5a/nlpandweb: direct link, hf CLI and curl.
- Browser
- Download file 712 kB
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https://huggingface.co/9au5a/nlpandweb/resolve/main/checkpoint-2000/tokenizer.json
- Command line
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hf download hf://9au5a/nlpandweb/checkpoint-2000/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/9au5a/nlpandweb/resolve/main/checkpoint-2000/tokenizer.json
712 kB
File too large to display, you can check the raw version instead.