Instructions to use Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF") model = AutoModelForSeq2SeqLM.from_pretrained("Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF/resolve/main/training_args.bin
- Command line
-
hf download hf://Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Deepanshu7284/Finetuned_HYBRID_LEGAL_LED_TFIDF/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 3764c492c999ad6923880619d12390e3c742009e39d8bdbebffdb9359e27b0ea
- Size of remote file:
- 5.37 kB
- SHA256:
- 18319dace10bb7c20250ac24db3e2484d26c638a931d6feaeaa97176273e45cf
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