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 1_Pooling/config.json from comet24082002/finetuned_bge_ver21: direct link, hf CLI and curl.
- Browser
- Download file 297 Bytes
-
https://huggingface.co/comet24082002/finetuned_bge_ver21/resolve/main/1_Pooling/config.json
- Command line
-
hf download hf://comet24082002/finetuned_bge_ver21/1_Pooling/config.json
-
curl -L -o config.json https://huggingface.co/comet24082002/finetuned_bge_ver21/resolve/main/1_Pooling/config.json
297 Bytes
| { | |
| "word_embedding_dimension": 1024, | |
| "pooling_mode_cls_token": true, | |
| "pooling_mode_mean_tokens": false, | |
| "pooling_mode_max_tokens": false, | |
| "pooling_mode_mean_sqrt_len_tokens": false, | |
| "pooling_mode_weightedmean_tokens": false, | |
| "pooling_mode_lasttoken": false, | |
| "include_prompt": true | |
| } |