Instructions to use boapps/kmdb_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boapps/kmdb_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boapps/kmdb_classification_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boapps/kmdb_classification_model") model = AutoModelForSequenceClassification.from_pretrained("boapps/kmdb_classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from boapps/kmdb_classification_model: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/boapps/kmdb_classification_model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://boapps/kmdb_classification_model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/boapps/kmdb_classification_model/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 15526169a2b2eadfca00da14b63fea586c5b8d092f7a2b3d3fd658541c1753e8
- Size of remote file:
- 443 MB
- SHA256:
- 68fe356d498a8618ff6e799feaae99909a1e8b9c8442044c13abe955fc09964e
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