Instructions to use AyushPJ/ai-club-inductions-21-nlp-XLNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyushPJ/ai-club-inductions-21-nlp-XLNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="AyushPJ/ai-club-inductions-21-nlp-XLNet")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("AyushPJ/ai-club-inductions-21-nlp-XLNet") model = AutoModelForQuestionAnswering.from_pretrained("AyushPJ/ai-club-inductions-21-nlp-XLNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AyushPJ/ai-club-inductions-21-nlp-XLNet: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/AyushPJ/ai-club-inductions-21-nlp-XLNet/resolve/main/training_args.bin
- Command line
-
hf download hf://AyushPJ/ai-club-inductions-21-nlp-XLNet/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AyushPJ/ai-club-inductions-21-nlp-XLNet/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- 42300a896bbe61eea58cfb2a2b1c6efd617f59a766e3a4f552e3c1e2287f37ed
- Size of remote file:
- 2.86 kB
- SHA256:
- 9a336c0409023f336c61ac93394a4c69e1613977d38d558b8ae5fae1d4ada3fc
路
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