Instructions to use contemmcm/420ea623dc59db96fe6ff3207a2ca9b8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use contemmcm/420ea623dc59db96fe6ff3207a2ca9b8 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("contemmcm/420ea623dc59db96fe6ff3207a2ca9b8") model = AutoModelForSeq2SeqLM.from_pretrained("contemmcm/420ea623dc59db96fe6ff3207a2ca9b8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a8dc80ded062fbec55cafc377a921058cc15db22332b8597bc8fa3dac2315c6
- Size of remote file:
- 790 kB
- SHA256:
- 70d69a2c08a7a2c18e4529c8ff62886aad2f8fd0e94fedeafe4bafc47a5f0d69
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