Transformers
PyTorch
Safetensors
English
t5
text2text-generation
finbert
financial-sentiment-analysis
sentiment-analysis
text-generation-inference
Instructions to use amphora/FinABSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphora/FinABSA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amphora/FinABSA") model = AutoModelForSeq2SeqLM.from_pretrained("amphora/FinABSA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4464fe7ca6cbd238e57523773b26f99061ea74d3ebdd99e8a5d85f13ed057729
- Size of remote file:
- 2.95 GB
- SHA256:
- dd78fd98657b5d5d4e709030c8002f63553f4c6ad5eb20ace1d6e3bccc3d74d5
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