Feature Extraction
Safetensors
sentence-transformers
Transformers
furiosa-llm
qwen3
furiosa-ai
harrier-oss-v1
mteb
text-embeddings-inference
Instructions to use furiosa-ai/harrier-oss-v1-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use furiosa-ai/harrier-oss-v1-0.6b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("furiosa-ai/harrier-oss-v1-0.6b") 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] - Transformers
How to use furiosa-ai/harrier-oss-v1-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="furiosa-ai/harrier-oss-v1-0.6b")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("furiosa-ai/harrier-oss-v1-0.6b") model = AutoModel.from_pretrained("furiosa-ai/harrier-oss-v1-0.6b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Publish harrier-oss-v1-0.6b-f58cd6b16b-aed3e19114-2609021438.fxb
Browse files
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