Instructions to use ethansimrm/opus_base_simple_tfidf_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_simple_tfidf_wce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_simple_tfidf_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_simple_tfidf_wce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ethansimrm/opus_base_simple_tfidf_wce: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/ethansimrm/opus_base_simple_tfidf_wce/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ethansimrm/opus_base_simple_tfidf_wce/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ethansimrm/opus_base_simple_tfidf_wce/resolve/main/pytorch_model.bin
299 MB
- Xet hash:
- a3803c2feea7284d4c500fa6241c6428617f66872c9c9040a19b3509d0392980
- Size of remote file:
- 299 MB
- SHA256:
- 8fc98e1224f3c436077f903fb1738893ae0cc176dff85bbd440b582504cf6967
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