Instructions to use Forturne/Finbert_PB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Forturne/Finbert_PB with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Forturne/Finbert_PB")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Forturne/Finbert_PB") model = AutoModelForSequenceClassification.from_pretrained("Forturne/Finbert_PB", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 117b5ccbd14c6a5d98b181bc1833327614418428b006d0440bf246b51fbebe6f
- Size of remote file:
- 439 MB
- SHA256:
- 7c15a525370f043f21b1fe2a976e0899d7741cd7a3169842a36540bf9deba94e
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