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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vmarklynn/cyberbully_test_v2") model = AutoModelForSequenceClassification.from_pretrained("vmarklynn/cyberbully_test_v2") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0125c7f5c0b58342d4e21af0d17f1cf71b4988ec110955336439c99e7f67546d
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size 267832560
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