Instructions to use hanhee1126/Cross-Encoder-LLamaIndex-Demo-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanhee1126/Cross-Encoder-LLamaIndex-Demo-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hanhee1126/Cross-Encoder-LLamaIndex-Demo-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanhee1126/Cross-Encoder-LLamaIndex-Demo-v2") model = AutoModelForSequenceClassification.from_pretrained("hanhee1126/Cross-Encoder-LLamaIndex-Demo-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
hanheeVerified signature17f0ad0 -
Upload BertForSequenceClassification
hanheeVerified signature1b85d80 -
initial commit
hanheeVerified signatureb4ce453