Feature Extraction
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use comet24082002/finetuned_bge_ver16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use comet24082002/finetuned_bge_ver16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="comet24082002/finetuned_bge_ver16")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("comet24082002/finetuned_bge_ver16") model = AutoModelForMultimodalLM.from_pretrained("comet24082002/finetuned_bge_ver16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae21d4a999e1ec0ac2227ac145252cd4a5a8dbdb6a1d327f5c20e83af7b26910
- Size of remote file:
- 2.27 GB
- SHA256:
- 04b12fd73406b6605c2695304f3a2f9ac280cf1610c017d3a360f4dd56d9eb2b
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