Sentence Similarity
PEFT
Safetensors
Danish
Swedish
text-embedding
embeddings
information-retrieval
beir
text-classification
language-model
text-clustering
text-semantic-similarity
text-evaluation
text-reranking
feature-extraction
Sentence Similarity
Instructions to use jealk/TTC-L2V-supervised-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jealk/TTC-L2V-supervised-1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Corrected mistral typo
Browse files
README.md
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@@ -61,7 +61,7 @@ import torch
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from transformers import AutoTokenizer, AutoModel, AutoConfig
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from peft import PeftModel
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# Loading base
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tokenizer = AutoTokenizer.from_pretrained(
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"jealk/llm2vec-da-mntp"
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)
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from transformers import AutoTokenizer, AutoModel, AutoConfig
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from peft import PeftModel
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# Loading base Llama model, along with custom code that enables bidirectional connections in decoder-only LLMs. MNTP LoRA weights are merged into the base model.
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tokenizer = AutoTokenizer.from_pretrained(
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"jealk/llm2vec-da-mntp"
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)
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