Instructions to use Sandy0909/finance_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandy0909/finance_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sandy0909/finance_sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sandy0909/finance_sentiment") model = AutoModelForSequenceClassification.from_pretrained("Sandy0909/finance_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:f5a4b97c621a80919998c2698f0ec519742ec1fe1ecce7ed815285e2c2fe42aa
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size 439040996
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