Instructions to use AtharvaaPatil/t5_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AtharvaaPatil/t5_model_v1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AtharvaaPatil/t5_model_v1") model = AutoModelForSeq2SeqLM.from_pretrained("AtharvaaPatil/t5_model_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb4d61451d2185ad34e60d0c8381aa37f05a7b89db3fc6e8d2fc1c94f118cd94
- Size of remote file:
- 134 Bytes
- SHA256:
- 16f8034d308e812362c9ee575b8b64affc8c5f91967e5f129b7499036e63d168
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