Instructions to use junujunu/roberta-base-vts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junujunu/roberta-base-vts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junujunu/roberta-base-vts")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("junujunu/roberta-base-vts") model = AutoModel.from_pretrained("junujunu/roberta-base-vts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from junujunu/roberta-base-vts: direct link, hf CLI and curl.
- Browser
- Download file 173 Bytes
-
https://huggingface.co/junujunu/roberta-base-vts/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://junujunu/roberta-base-vts/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/junujunu/roberta-base-vts/resolve/main/special_tokens_map.json
173 Bytes
| { | |
| "bos_token": "[CLS]", | |
| "cls_token": "[CLS]", | |
| "eos_token": "[SEP]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |