Instructions to use ArpitJha/Indian-FinBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArpitJha/Indian-FinBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ArpitJha/Indian-FinBert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ArpitJha/Indian-FinBert") model = AutoModelForSequenceClassification.from_pretrained("ArpitJha/Indian-FinBert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a363c0c5471ab7a75f6435c49b970053715f0e23e8bc8788065c347967402e8b
- Size of remote file:
- 18.9 MB
- SHA256:
- 570ca17079b0c128a3843f86fba1c0a5af3f0f24fdd1edd762ee170aec111568
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