Text Classification
Transformers
Safetensors
new
cross-encoder
custom_code
text-embeddings-inference
Instructions to use adriansanz/rerank_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adriansanz/rerank_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adriansanz/rerank_v0", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("adriansanz/rerank_v0", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ceae68f4cee74e727a132e62757a5b512d8aee560c19bcc76314a80b3676667
- Size of remote file:
- 17.1 MB
- SHA256:
- b2644a20142e524789362c049a0139735aa257dd806ccbe34c657d604dcb6c4d
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