Instructions to use Conrad747/lg-en-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Conrad747/lg-en-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Conrad747/lg-en-v3") model = AutoModelForSeq2SeqLM.from_pretrained("Conrad747/lg-en-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Conrad747/lg-en-v3: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/Conrad747/lg-en-v3/resolve/main/training_args.bin
- Command line
-
hf download hf://Conrad747/lg-en-v3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Conrad747/lg-en-v3/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 52c9e13a13c5a08d0b6ebfed17139d36677e03497a001e206c11ada0374f1c9d
- Size of remote file:
- 3.44 kB
- SHA256:
- 65fb4aa51360f716343bdddc8d266f2319fef8d3ef7e364a7db92528efb16293
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