Instructions to use hmone231/gptj-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hmone231/gptj-squad 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="hmone231/gptj-squad")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hmone231/gptj-squad") model = AutoModelForQuestionAnswering.from_pretrained("hmone231/gptj-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hmone231/gptj-squad: direct link, hf CLI and curl.
- Browser
- Download file 2.14 MB
-
https://huggingface.co/hmone231/gptj-squad/resolve/main/tokenizer.json
- Command line
-
hf download hf://hmone231/gptj-squad/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hmone231/gptj-squad/resolve/main/tokenizer.json
2.14 MB
File too large to display, you can check the raw version instead.