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 pytorch_model.bin from vmarklynn/cyberbully_test: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/vmarklynn/cyberbully_test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vmarklynn/cyberbully_test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vmarklynn/cyberbully_test/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 3b89500c0b6a86f1de282bb72ff3dcfb625823bca6d8863f446773d8645aba4d
- Size of remote file:
- 268 MB
- SHA256:
- ccb13a2f32d3808d5b6fd1ff9b558a60976f214cb8acb2e29921ff981e9e3e17
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