Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ClaraPind/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaraPind/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ClaraPind/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClaraPind/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("ClaraPind/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a4b0e4a67b1aaed1c0e0d50fa38fd26af569bc5bac256667e95f70dbef12925
- Size of remote file:
- 268 MB
- SHA256:
- 67d8bff4b8b14f45f64d33a66c0d99f2028d6da328dd20c146735d0df111c360
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