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
Commit ·
10a5aa4
1
Parent(s): 660ff5e
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (639cf4271e3ad1761ec5efba96db8108e1fc78b9)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f6574a17f6419a3e853e482d4ed1108cc3ceb347dc65fae38a3094e10cdedac9
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size 2950640336
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