Instructions to use EricPeter/en-to-lg-nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/en-to-lg-nllb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EricPeter/en-to-lg-nllb") model = AutoModelForSeq2SeqLM.from_pretrained("EricPeter/en-to-lg-nllb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from EricPeter/en-to-lg-nllb: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/f06e0cf0a46ff755ee3f6e65809eafe894bc207f/scheduler.pt
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb@f06e0cf0a46ff755ee3f6e65809eafe894bc207f/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/f06e0cf0a46ff755ee3f6e65809eafe894bc207f/scheduler.pt
1.06 kB
- Xet hash:
- 41b3de959540d4c1ee9b082d9ae4ab91f6173d1f010e82f062ecdd49b581a362
- Size of remote file:
- 1.06 kB
- SHA256:
- fc10121628abb0b56ef05082fb3fb477990eee89139a5e4ec6401699f3f56ffb
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