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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amphora/FinABSA-Longer") model = AutoModelForSeq2SeqLM.from_pretrained("amphora/FinABSA-Longer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71d8c0f193ad0e407e3c330c256b21458abb4dfe3646da2dd60f50d6b0730356
- Size of remote file:
- 2.95 GB
- SHA256:
- c2bebd6f7bfacc081ed4e8cab792a28cf0393abba37055253c80127bbd9bc805
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