Instructions to use Oblix/crossencoder-mMiniLMv2-L12-mmarcoFR_ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oblix/crossencoder-mMiniLMv2-L12-mmarcoFR_ONNX with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Oblix/crossencoder-mMiniLMv2-L12-mmarcoFR_ONNX") model = AutoModelForSequenceClassification.from_pretrained("Oblix/crossencoder-mMiniLMv2-L12-mmarcoFR_ONNX") - Notebooks
- Google Colab
- Kaggle
https://huggingface.co/antoinelouis/crossencoder-mMiniLMv2-L12-mmarcoFR with ONNX weights to be compatible with Transformers.js.
- Downloads last month
- 7
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support