Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vmarklynn/cyberbully_test_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vmarklynn/cyberbully_test_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vmarklynn/cyberbully_test_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vmarklynn/cyberbully_test_v2") model = AutoModelForSequenceClassification.from_pretrained("vmarklynn/cyberbully_test_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vmarklynn/cyberbully_test_v2: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/vmarklynn/cyberbully_test_v2/resolve/main/training_args.bin
- Command line
-
hf download hf://vmarklynn/cyberbully_test_v2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vmarklynn/cyberbully_test_v2/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 9580f3412cc350995e7331c403a2a642d6edae3f60d32d76a683ff14b7bd94a6
- Size of remote file:
- 3.96 kB
- SHA256:
- 8a13c003ac84fd4185c7fe9c036ee9f4b30435900fbee726ec45ee303888a79e
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