Instructions to use lincoln/2021twitchfr-conv-bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lincoln/2021twitchfr-conv-bert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lincoln/2021twitchfr-conv-bert-small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lincoln/2021twitchfr-conv-bert-small") model = AutoModel.from_pretrained("lincoln/2021twitchfr-conv-bert-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from lincoln/2021twitchfr-conv-bert-small: direct link, hf CLI and curl.
- Browser
- Download file 158 Bytes
-
https://huggingface.co/lincoln/2021twitchfr-conv-bert-small/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://lincoln/2021twitchfr-conv-bert-small/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/lincoln/2021twitchfr-conv-bert-small/resolve/main/tokenizer_config.json
158 Bytes
| {"sep_token": "<sep>", "pad_token": "<pad>", "cls_token": "<cls>", "mask_token": "<mask>", "unk_token": "<unk>", "tokenizer_class": "PreTrainedTokenizerFast"} |