Instructions to use nlpotato/t5-base-e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpotato/t5-base-e5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nlpotato/t5-base-e5") model = AutoModelForSeq2SeqLM.from_pretrained("nlpotato/t5-base-e5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81e9ff1bc9a64de526dff033f014e1c0f36320dc5534681a69cc38fb8437c036
- Size of remote file:
- 1.1 GB
- SHA256:
- 7bc730c6e2d7b22617971efc1dde3d8e8b28352a39f0cc140e2d15a034055cd4
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