Text Classification
Transformers
PyTorch
Safetensors
English
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use EricPeter/comments-text-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/comments-text-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EricPeter/comments-text-classification-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EricPeter/comments-text-classification-model") model = AutoModelForSequenceClassification.from_pretrained("EricPeter/comments-text-classification-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (c06541d4f5b202f7bdb26280548208591d1a59d6) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f2b7bbf
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Commit From AutoTrain
8040d90 -
initial commit
00a542e