Instructions to use lenguist/lr-test-e-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lenguist/lr-test-e-3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lenguist/lr-test-e-3") model = AutoModelForSeq2SeqLM.from_pretrained("lenguist/lr-test-e-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b376b5ce902bc4c9b0ec215bbd000a8d466364f206c5ddb6d49c851ae2257f2
- Size of remote file:
- 2.44 GB
- SHA256:
- a6bdcd076bb8ea2434d8249dbea625c933f8245293114f21e10319333176491c
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