Instructions to use iknoor/UTDRM-MPNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iknoor/UTDRM-MPNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="iknoor/UTDRM-MPNet")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iknoor/UTDRM-MPNet") model = AutoModel.from_pretrained("iknoor/UTDRM-MPNet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 462 Bytes
05db100 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"bos_token": "<s>",
"cls_token": "<s>",
"do_lower_case": true,
"eos_token": "</s>",
"mask_token": "<mask>",
"model_max_length": 512,
"name_or_path": "/home/iknoor/.cache/torch/sentence_transformers/sentence-transformers_all-mpnet-base-v2/",
"pad_token": "<pad>",
"sep_token": "</s>",
"special_tokens_map_file": null,
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "MPNetTokenizer",
"unk_token": "[UNK]"
}
|