Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vmarklynn/cyberbully_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vmarklynn/cyberbully_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vmarklynn/cyberbully_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vmarklynn/cyberbully_test") model = AutoModelForSequenceClassification.from_pretrained("vmarklynn/cyberbully_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vmarklynn/cyberbully_test: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/vmarklynn/cyberbully_test/resolve/main/training_args.bin
- Command line
-
hf download hf://vmarklynn/cyberbully_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vmarklynn/cyberbully_test/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 7581e881084e39d996cdf1507a27383a5394025f2eab9f0d8717374e7a53ea0e
- Size of remote file:
- 3.96 kB
- SHA256:
- 2869c895387a44761c4485a7887f0f563bc774d2e27fb01acd1fdbbc164eece5
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