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 pytorch_model.bin from Conrad747/lg-en-v4: direct link, hf CLI and curl.
- Browser
- Download file 308 MB
-
https://huggingface.co/Conrad747/lg-en-v4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Conrad747/lg-en-v4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Conrad747/lg-en-v4/resolve/main/pytorch_model.bin
308 MB
- Xet hash:
- 12a287ea367de8baae9689f13b27d069d1067f621cea07082b966afe591bb9a1
- Size of remote file:
- 308 MB
- SHA256:
- f34d2f62ee68b6164d38d662d0105710d5aa1e254e199a2753fd49fe9de16e8d
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