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:
- d92c2051f8e856153ea578c1454fdbade41bc87052e0642aa479ef644867d1b5
- Size of remote file:
- 3.51 kB
- SHA256:
- a154c9c882b428f36017252db0da79837dcbba4ab77420c79bd23790b096a75d
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