Instructions to use DVillada/T5_fine_tunning_NLP_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DVillada/T5_fine_tunning_NLP_test with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DVillada/T5_fine_tunning_NLP_test") model = AutoModelForSeq2SeqLM.from_pretrained("DVillada/T5_fine_tunning_NLP_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51996c41112d5db70838e642bd0ca6a11effa4c1d382be808058467a4de8f2be
- Size of remote file:
- 892 MB
- SHA256:
- 0249b34d727f277f23734e9eacc61826dadde95a753e7aa3304d4ebe43a8a457
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