Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use lixiwu/trainer-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lixiwu/trainer-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lixiwu/trainer-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lixiwu/trainer-chapter4") model = AutoModelForSequenceClassification.from_pretrained("lixiwu/trainer-chapter4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b25aa59a601a98a07cbe05c82df6d3a32dc6057405c4869f18341a1229bc105c
- Size of remote file:
- 4.92 kB
- SHA256:
- 7b58ded95a98b5b05734e3503051130b46feb7d218d6b3542df3dff19cbf3896
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