Instructions to use csnyder/db-model-repo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csnyder/db-model-repo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="csnyder/db-model-repo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("csnyder/db-model-repo") model = AutoModelForSequenceClassification.from_pretrained("csnyder/db-model-repo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from csnyder/db-model-repo: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/csnyder/db-model-repo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://csnyder/db-model-repo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/csnyder/db-model-repo/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- a22c6b210c913f02a806281ff681d8e8edfdb54df37b6a2f4a774cfa40ba7eb2
- Size of remote file:
- 268 MB
- SHA256:
- ea4d538a3a1c086ba80dda4f6e27395d5918b20effb03ae45870ab9ca84de69b
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