Instructions to use tali1/LLM-bartlarge-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tali1/LLM-bartlarge-1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tali1/LLM-bartlarge-1") model = AutoModelForSeq2SeqLM.from_pretrained("tali1/LLM-bartlarge-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tali1/LLM-bartlarge-1: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/tali1/LLM-bartlarge-1/resolve/main/training_args.bin
- Command line
-
hf download hf://tali1/LLM-bartlarge-1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tali1/LLM-bartlarge-1/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- d53d817da92bf4cb807864b0a84c755fcd774be7007d7564b750b6bc68f22775
- Size of remote file:
- 5.05 kB
- SHA256:
- 52d1bcd9e6038bc7508815376423fe05710ee8ba1badae44bb0f2c5f91345392
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