Instructions to use huaxr/bert-with-classfication-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huaxr/bert-with-classfication-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huaxr/bert-with-classfication-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huaxr/bert-with-classfication-model") model = AutoModelForSequenceClassification.from_pretrained("huaxr/bert-with-classfication-model") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
7b30ae9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a2f61faac8d40abb47dfb7211303672445534db7efaba67f75ec68fa37df23ee
size 438005109
|