Feature Extraction
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use comet24082002/finetuned_bge_ver21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use comet24082002/finetuned_bge_ver21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="comet24082002/finetuned_bge_ver21")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("comet24082002/finetuned_bge_ver21") model = AutoModel.from_pretrained("comet24082002/finetuned_bge_ver21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from comet24082002/finetuned_bge_ver21: direct link, hf CLI and curl.
- Browser
- Download file 6.65 kB
-
https://huggingface.co/comet24082002/finetuned_bge_ver21/resolve/main/training_args.bin
- Command line
-
hf download hf://comet24082002/finetuned_bge_ver21/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/comet24082002/finetuned_bge_ver21/resolve/main/training_args.bin
6.65 kB
- Xet hash:
- f99c72997c08dd04b58caf6a8e648cdb2ca51d6e14ddd339b1fd6a6f81854f24
- Size of remote file:
- 6.65 kB
- SHA256:
- c2f0be81cd6652be576136c2036d87f22b0dc02933be7f6dfed048d173451e69
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