Instructions to use sm6342/FinRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sm6342/FinRoberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sm6342/FinRoberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sm6342/FinRoberta") model = AutoModelForMaskedLM.from_pretrained("sm6342/FinRoberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sm6342/FinRoberta: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/sm6342/FinRoberta/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sm6342/FinRoberta/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sm6342/FinRoberta/resolve/main/pytorch_model.bin
334 MB
- Xet hash:
- abf042fa0f957613a69d64a530c4f4dc44c125dd919b25f54120e37d2a7ed36f
- Size of remote file:
- 334 MB
- SHA256:
- e78254fd35f8725d88ee244768a0c1951a286824f6a9a3e2e0a99dd6b3b3e89c
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