Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Emil7018/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Emil7018/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Emil7018/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Emil7018/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("Emil7018/classifier-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Oct02_15-50-11_3fa377185cc3
- Oct02_20-57-33_3e893f8ebf88
- Oct03_14-35-30_ce7fa55b11ce
- Oct03_14-56-03_ce7fa55b11ce
- Oct03_14-56-42_ce7fa55b11ce
- Oct03_15-09-20_ce7fa55b11ce
- Oct03_16-30-18_ce7fa55b11ce
- Oct03_16-53-36_ce7fa55b11ce
- Sep23_12-29-19_b4e6d920fbde
- Sep23_13-24-58_b4e6d920fbde
- Sep25_13-16-40_e0e39ad4e29a
- Sep25_14-45-54_e0e39ad4e29a