Instructions to use HeavensHackDev/HCAE-21M-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HeavensHackDev/HCAE-21M-Instruct with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HeavensHackDev/HCAE-21M-Instruct") 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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## Utilization Guidelines (Instruction Format)
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For optimal retrieval performance, prepend the instruction mapping to the query text:
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`Instruction: Retrieve the exact document that answers the following question. Query: [Your Query]`
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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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## Utilization Guidelines (Instruction Format)
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For optimal retrieval performance, prepend the instruction mapping to the query text:
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`Instruction: Retrieve the exact document that answers the following question. Query: [Your Query]`
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