Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pbwauyo/trainer-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pbwauyo/trainer-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pbwauyo/trainer-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pbwauyo/trainer-chapter4") model = AutoModelForSequenceClassification.from_pretrained("pbwauyo/trainer-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bec29d69b31ba6b630145c0f47202589f40a92e57aa2b800044309a6575f5437
- Size of remote file:
- 5.11 kB
- SHA256:
- 2ae602c0a1343bc64f68b8a377cb40cc069da1c009b845457bae1da41eb83cf2
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