Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use asvs/qs-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asvs/qs-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asvs/qs-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asvs/qs-classifier") model = AutoModelForSequenceClassification.from_pretrained("asvs/qs-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5a24efd | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e5ebb2a924e46d6646f1c36d2a61ee1806ef7e4265fd29924b3180374505f2c9
size 3375
|