Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use pcuenq/classifier-chapter4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pcuenq/classifier-chapter4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pcuenq/classifier-chapter4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pcuenq/classifier-chapter4") model = AutoModelForSequenceClassification.from_pretrained("pcuenq/classifier-chapter4") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0ed12e2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:325bc2ad82aea77842e4745b0c8b973c040ea49331f1454b31b59e92e01cec35
size 267838720
|