Text Classification
Transformers
TensorBoard
Safetensors
English
modernbert
cross-encoder
sequence-classification
text-embeddings-inference
Instructions to use xpmir/cross-encoder-ettin-150m-DistillRankNET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xpmir/cross-encoder-ettin-150m-DistillRankNET with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xpmir/cross-encoder-ettin-150m-DistillRankNET")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xpmir/cross-encoder-ettin-150m-DistillRankNET") model = AutoModelForSequenceClassification.from_pretrained("xpmir/cross-encoder-ettin-150m-DistillRankNET", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download runs/events.out.tfevents.1770777443.jzxh302.89351.0 from xpmir/cross-encoder-ettin-150m-DistillRankNET: direct link, hf CLI and curl.
- Browser
- Download file 15.5 MB
-
https://huggingface.co/xpmir/cross-encoder-ettin-150m-DistillRankNET/resolve/10dc3f7aea437eb1eed01ac6c19e6027c082d5e2/runs/events.out.tfevents.1770777443.jzxh302.89351.0
- Command line
-
hf download hf://xpmir/cross-encoder-ettin-150m-DistillRankNET@10dc3f7aea437eb1eed01ac6c19e6027c082d5e2/runs/events.out.tfevents.1770777443.jzxh302.89351.0
-
curl -L -o events.out.tfevents.1770777443.jzxh302.89351.0 https://huggingface.co/xpmir/cross-encoder-ettin-150m-DistillRankNET/resolve/10dc3f7aea437eb1eed01ac6c19e6027c082d5e2/runs/events.out.tfevents.1770777443.jzxh302.89351.0
15.5 MB
- Xet hash:
- eca26188e6201da8d8374cc16023c9bb5da925b7e47a406a26e27016262d22b2
- Size of remote file:
- 15.5 MB
- SHA256:
- 6c25029a187fa6988a6c3722819d722b4270904a6e042f3d61bb1408db9a8085
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