Instructions to use Erin/mist-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erin/mist-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Erin/mist-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Erin/mist-zh") model = AutoModel.from_pretrained("Erin/mist-zh") - Notebooks
- Google Colab
- Kaggle
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Spaces using Erin/mist-zh 11
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mteb/leaderboard_legacy
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SmileXing/leaderboard
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sq66/leaderboard_legacy
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reader-1/1
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shiwan7788/leaderboard-uni
Evaluation results
- cos_sim_pearson on MTEB AFQMCvalidation set self-reported44.809
- cos_sim_spearman on MTEB AFQMCvalidation set self-reported46.979
- euclidean_pearson on MTEB AFQMCvalidation set self-reported45.368
- euclidean_spearman on MTEB AFQMCvalidation set self-reported46.979
- manhattan_pearson on MTEB AFQMCvalidation set self-reported45.235
- manhattan_spearman on MTEB AFQMCvalidation set self-reported46.877
- cos_sim_pearson on MTEB ATECtest set self-reported49.529
- cos_sim_spearman on MTEB ATECtest set self-reported51.348
- euclidean_pearson on MTEB ATECtest set self-reported53.569
- euclidean_spearman on MTEB ATECtest set self-reported51.348
- manhattan_pearson on MTEB ATECtest set self-reported53.582
- manhattan_spearman on MTEB ATECtest set self-reported51.350
- accuracy on MTEB AmazonReviewsClassification (zh)test set self-reported39.318
- f1 on MTEB AmazonReviewsClassification (zh)test set self-reported37.377
- cos_sim_pearson on MTEB BQtest set self-reported62.120
- cos_sim_spearman on MTEB BQtest set self-reported65.082