Instructions to use codefuse-ai/F2LLM-v2-8B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codefuse-ai/F2LLM-v2-8B-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="codefuse-ai/F2LLM-v2-8B-Preview")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("codefuse-ai/F2LLM-v2-8B-Preview") model = AutoModel.from_pretrained("codefuse-ai/F2LLM-v2-8B-Preview", device_map="auto") - sentence-transformers
How to use codefuse-ai/F2LLM-v2-8B-Preview with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("codefuse-ai/F2LLM-v2-8B-Preview") 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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# F2LLM-v2-8B-Preview
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**F2LLM-v2-8B-Preview** is a multilingual embedding model trained from Qwen3-8B on a corpus of **27 million samples**, spanning **over 100 languages**. It is a "preview" version trained without instructions and intended to serve as a foundation for downstream embedding tasks and further fine-tuning.
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## Usage
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# F2LLM-v2-8B-Preview
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**F2LLM-v2-8B-Preview** is a multilingual embedding model trained from Qwen3-8B on a corpus of **27 million samples**, spanning **over 100 natural and programming languages**. It is a "preview" version trained without instructions and intended to serve as a foundation for downstream embedding tasks and further fine-tuning.
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## Usage
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