Transformers
PyTorch
English
t5
text2text-generation
ner
text generation
seq2seq
text-generation-inference
Instructions to use olgaduchovny/t5-base-ner-mit-restaurant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use olgaduchovny/t5-base-ner-mit-restaurant with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("olgaduchovny/t5-base-ner-mit-restaurant") model = AutoModelForMultimodalLM.from_pretrained("olgaduchovny/t5-base-ner-mit-restaurant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3d102207dfde692fc700edba41d5dba7228c6694d45038bd1ff0ad6a6249b9d
- Size of remote file:
- 892 MB
- SHA256:
- 949ca594b3737f170b6146988e1b95439471106cfc0e49d29dc48ba39e723b6f
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