Transformers
PyTorch
Safetensors
English
t5
text2text-generation
finbert
financial-sentiment-analysis
sentiment-analysis
text-generation-inference
Instructions to use amphora/FinABSA-Longer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphora/FinABSA-Longer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amphora/FinABSA-Longer") model = AutoModelForSeq2SeqLM.from_pretrained("amphora/FinABSA-Longer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Verified signatureThe model is fantastic! We would like to contribute by updating the base_model information in the model's README. This is to address the missing model card.17fe533
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (c75a43ffdb125e1601bd76f2d5117ef6d8baf4dd) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f5df317
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Upload tokenizer
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initial commit
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