Instructions to use sshleifer/dev-ft-en-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sshleifer/dev-ft-en-ro with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sshleifer/dev-ft-en-ro") model = AutoModelForSeq2SeqLM.from_pretrained("sshleifer/dev-ft-en-ro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from sshleifer/dev-ft-en-ro: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/sshleifer/dev-ft-en-ro/resolve/main/.gitattributes
- Command line
-
hf download hf://sshleifer/dev-ft-en-ro/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/sshleifer/dev-ft-en-ro/resolve/main/.gitattributes
345 Bytes
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