Instructions to use hugo/byt5-mono-code-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugo/byt5-mono-code-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hugo/byt5-mono-code-v1") model = AutoModelForSeq2SeqLM.from_pretrained("hugo/byt5-mono-code-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from hugo/byt5-mono-code-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/hugo/byt5-mono-code-v1/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://hugo/byt5-mono-code-v1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/hugo/byt5-mono-code-v1/resolve/main/flax_model.msgpack
1.2 GB
- Xet hash:
- a407ed92efb1b3656466ac5a1f93ead97fd3d6526bc3d858bfbc3b26ebd240f8
- Size of remote file:
- 1.2 GB
- SHA256:
- b6ab29f0ace5487b6ff4f8dc3ecf35f5fa203e6165dabc37aa57b47e26129ae9
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