Sentence Similarity
Transformers
PyTorch
Safetensors
xlm-roberta
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use deepfile/embedder-100p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepfile/embedder-100p with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("deepfile/embedder-100p") model = AutoModel.from_pretrained("deepfile/embedder-100p", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 190 Bytes
a55ac91 | 1 2 3 4 5 6 7 | {
"word_embedding_dimension": 768,
"pooling_mode_cls_token": false,
"pooling_mode_mean_tokens": true,
"pooling_mode_max_tokens": false,
"pooling_mode_mean_sqrt_len_tokens": false
} |