Instructions to use SAGAR4REAL/blueforce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SAGAR4REAL/blueforce with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SAGAR4REAL/blueforce") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use SAGAR4REAL/blueforce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SAGAR4REAL/blueforce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from SAGAR4REAL/blueforce: direct link, hf CLI and curl.
- Browser
- Download file 410 Bytes
-
https://huggingface.co/SAGAR4REAL/blueforce/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://SAGAR4REAL/blueforce/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/SAGAR4REAL/blueforce/resolve/main/tokenizer_config.json
410 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "name_or_path": "sentence-transformers/all-distilroberta-v1", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |