Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use King-8/help-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use King-8/help-classifier-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="King-8/help-classifier-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("King-8/help-classifier-v2") model = AutoModelForSequenceClassification.from_pretrained("King-8/help-classifier-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0520339ab01bfe243f86c99b15f63beffe3af6cc9b8d5aacc521c0742a30206b
- Size of remote file:
- 5.14 kB
- SHA256:
- 6a128409cb8aea23dfd0461d28152b134db036d74ca2ee06dccb1c87970699cd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.