Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ultra-coder54732/comment-detection-prop-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ultra-coder54732/comment-detection-prop-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ultra-coder54732/comment-detection-prop-16")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ultra-coder54732/comment-detection-prop-16") model = AutoModelForSequenceClassification.from_pretrained("ultra-coder54732/comment-detection-prop-16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ultra-coder54732/comment-detection-prop-16: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/ultra-coder54732/comment-detection-prop-16/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ultra-coder54732/comment-detection-prop-16/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ultra-coder54732/comment-detection-prop-16/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 02246bd9a7f6bf6ec89ef9db97a8dad80b94a6d5c27ec25365ea6b963e43bcde
- Size of remote file:
- 433 MB
- SHA256:
- 3c39a8815d2beaba935e2617adc5526b94ccc94e71efcee63026813d34819950
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