Instructions to use likith123/SSAF-FinBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use likith123/SSAF-FinBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="likith123/SSAF-FinBert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("likith123/SSAF-FinBert") model = AutoModelForSequenceClassification.from_pretrained("likith123/SSAF-FinBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 349dacd7627c12fdcf21fd57131ce915d3de60a30920f0865c236101030dd0b8
- Size of remote file:
- 439 MB
- SHA256:
- 1f185943eb349da7b480e44acf1b22987e8845fa230244bb12ca6245517c7b27
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