Transformers
PyTorch
English
t5
text2text-generation
finance
ContextNER
language models
text-generation-inference
Instructions to use him1411/EDGAR-T5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use him1411/EDGAR-T5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("him1411/EDGAR-T5-base") model = AutoModelForSeq2SeqLM.from_pretrained("him1411/EDGAR-T5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bab2cdca85baa460699d42366e0dd03e20cc186260b8937c4dc5e9d369929a58
- Size of remote file:
- 892 MB
- SHA256:
- 291ace4388a2d6c506af2f23dd7ed1ccebf256f5db33601c78935e222ac6e8fb
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