Instructions to use thaidv96/fin-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thaidv96/fin-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thaidv96/fin-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thaidv96/fin-sentiment") model = AutoModelForSequenceClassification.from_pretrained("thaidv96/fin-sentiment") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:26cd7d868bd4c753520b34aceae147582fc3436b5c9c1a1ee560c001dd298f51
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size 1112212288
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