Instructions to use mob2711/envit5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mob2711/envit5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mob2711/envit5-base") model = AutoModelForSeq2SeqLM.from_pretrained("mob2711/envit5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26334cfa0ebb4ce96a4432101af55ed4432052aae8d83d3363c87f78b1a5a82d
- Size of remote file:
- 5.11 kB
- SHA256:
- b0c7c5838436e5edd06716eb9b61b37617d09693c0b8bbd2063d5b0d82c6c8c5
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