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 training_args.bin from ultra-coder54732/comment-detection-prop-16: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/ultra-coder54732/comment-detection-prop-16/resolve/main/training_args.bin
- Command line
-
hf download hf://ultra-coder54732/comment-detection-prop-16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ultra-coder54732/comment-detection-prop-16/resolve/main/training_args.bin
3.38 kB
- Xet hash:
- 890cf997385c11c9c3b3263fd3b21a0863e7a34c773a49abaf83fe2d63241e71
- Size of remote file:
- 3.38 kB
- SHA256:
- 3a0f4f26d1494b4e04370270de06b670cf06136ccca83c08919d4eeb6b217c4d
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