Instructions to use 123Divyansh/ConsofIndia_Divyansh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 123Divyansh/ConsofIndia_Divyansh 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="123Divyansh/ConsofIndia_Divyansh")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("123Divyansh/ConsofIndia_Divyansh") model = AutoModelForQuestionAnswering.from_pretrained("123Divyansh/ConsofIndia_Divyansh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 123Divyansh/ConsofIndia_Divyansh: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/123Divyansh/ConsofIndia_Divyansh/resolve/main/training_args.bin
- Command line
-
hf download hf://123Divyansh/ConsofIndia_Divyansh/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/123Divyansh/ConsofIndia_Divyansh/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- d98623137b87cc82894dc8ff8de172a720fc0f1c22329648ef203bea5acfe834
- Size of remote file:
- 5.24 kB
- SHA256:
- 78917c7a4f96d84e08bed3c183f2f7fbea1ee4da2fd0e225a6c8a14455c36cdb
路
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