Instructions to use HeavensHackDev/HCAE-21M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HeavensHackDev/HCAE-21M-Base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HeavensHackDev/HCAE-21M-Base") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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README.md
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| **HCAE-21M-Base** | `0.507` | `0.324` | Baseline configuration trained extensively on the MS MARCO dataset. |
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| **HCAE-21M-Instruct** | `0.591` | `0.393` | Multi-stage tuning incorporating ArXiv, STS-B, and SQuAD instruction tuning paradigms. |
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| **HCAE-21M-Base** | `0.507` | `0.324` | Baseline configuration trained extensively on the MS MARCO dataset. |
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| **HCAE-21M-Instruct** | `0.591` | `0.393` | Multi-stage tuning incorporating ArXiv, STS-B, and SQuAD instruction tuning paradigms. |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/680c9127408ea47e6c1dd6e8/VuJ6ayS--Ot8i-715fT3a.png" width="800" style="border-radius: 10px; box-shadow: 0 4px 20px rgba(0,0,0,0.3);">
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</p>
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