Transformers
PyTorch
TensorBoard
longt5
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use pellucid/my_awesome_opus100_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pellucid/my_awesome_opus100_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pellucid/my_awesome_opus100_model") model = AutoModelForSeq2SeqLM.from_pretrained("pellucid/my_awesome_opus100_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2c7453e944bbd5b219b1b26541bd3b12617014a567c98cc20b8ce7ca2cc9f1a
- Size of remote file:
- 815 kB
- SHA256:
- 3d2aa641a0890d8966ab8703b109895a4e522713ce99b4a0192bfacb495bc97c
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