Instructions to use hessamasna/INL_En_Fa_Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hessamasna/INL_En_Fa_Translation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hessamasna/INL_En_Fa_Translation") model = AutoModelForSeq2SeqLM.from_pretrained("hessamasna/INL_En_Fa_Translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hessamasna/INL_En_Fa_Translation: direct link, hf CLI and curl.
- Browser
- Download file 880 kB
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https://huggingface.co/hessamasna/INL_En_Fa_Translation/resolve/main/tokenizer.json
- Command line
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hf download hf://hessamasna/INL_En_Fa_Translation/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hessamasna/INL_En_Fa_Translation/resolve/main/tokenizer.json
880 kB
File too large to display, you can check the raw version instead.