Instructions to use HJOK/FinTree with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HJOK/FinTree with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HJOK/FinTree")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HJOK/FinTree") model = AutoModel.from_pretrained("HJOK/FinTree") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8e1dab42a022763eb953aee576ca46faa4d2ea8adb1f62528e1f8ab039fba21
- Size of remote file:
- 1.74 GB
- SHA256:
- 2488b1f880beb17ba4abc52837d126af5990a4c340342c57d992ca87cdde6003
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