Feature Extraction
Transformers
Safetensors
bert
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use technicolor/Angle_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use technicolor/Angle_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="technicolor/Angle_BERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("technicolor/Angle_BERT") model = AutoModel.from_pretrained("technicolor/Angle_BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 296 Bytes
cfde07b | 1 2 3 4 5 6 7 8 9 10 | {
"word_embedding_dimension": 768,
"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
} |