Instructions to use xiongzhongchi/transsion_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiongzhongchi/transsion_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xiongzhongchi/transsion_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xiongzhongchi/transsion_bert") model = AutoModelForSequenceClassification.from_pretrained("xiongzhongchi/transsion_bert") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
a3d19e4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4f982b904be9f6bd0907c212175487295013bb5debcbbe332069dc2e394edb49
size 438040689
|