Instructions to use dtorber/bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dtorber/bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dtorber/bertweet-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dtorber/bertweet-base") model = AutoModelForSequenceClassification.from_pretrained("dtorber/bertweet-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from dtorber/bertweet-base: direct link, hf CLI and curl.
- Browser
- Download file 167 Bytes
-
https://huggingface.co/dtorber/bertweet-base/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://dtorber/bertweet-base/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/dtorber/bertweet-base/resolve/main/special_tokens_map.json
167 Bytes
| { | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |