Instructions to use hugo/byt5-pt-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugo/byt5-pt-v4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hugo/byt5-pt-v4") model = AutoModelForSeq2SeqLM.from_pretrained("hugo/byt5-pt-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e27ed97b8e3fd3b5c6d5dffdbce9ba1def3749c8f3b4ea398e9be0ae9edabb9c
- Size of remote file:
- 1.2 GB
- SHA256:
- e1dbb3a56a3fa60487e09fa14da853b219c33329331e03f1d08a631b0cb3c7e0
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