Instructions to use Conrad747/lg-en-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Conrad747/lg-en-v4 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Conrad747/lg-en-v4") model = AutoModelForSeq2SeqLM.from_pretrained("Conrad747/lg-en-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Conrad747/lg-en-v4: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/Conrad747/lg-en-v4/resolve/main/training_args.bin
- Command line
-
hf download hf://Conrad747/lg-en-v4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Conrad747/lg-en-v4/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- db3596c780be2805fce97ed0f03301c6f8209ad5210fedef51bea2ca2ecad04c
- Size of remote file:
- 3.57 kB
- SHA256:
- 9343d5bfd381941ed6b2e24c80e94a01a9def78500a930fc943e362fe3183eb1
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