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 pytorch_model.bin from vmarklynn/cyberbully_test_v2: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/vmarklynn/cyberbully_test_v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vmarklynn/cyberbully_test_v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vmarklynn/cyberbully_test_v2/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 33a1e974886de6678fa56255321fb4cf595d4a7448853cb3bbf53bae8ce4123e
- Size of remote file:
- 268 MB
- SHA256:
- cc4b74ecb10fe20f6656443c1f89f1a6de205dc920137d27dc9532db5b6a7d2f
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