Instructions to use cardiffnlp/twitter-roberta-base-sep2020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-sep2020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cardiffnlp/twitter-roberta-base-sep2020")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-sep2020") model = AutoModelForMaskedLM.from_pretrained("cardiffnlp/twitter-roberta-base-sep2020", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cardiffnlp/twitter-roberta-base-sep2020: direct link, hf CLI and curl.
- Browser
- Download file 1.36 MB
-
https://huggingface.co/cardiffnlp/twitter-roberta-base-sep2020/resolve/main/tokenizer.json
- Command line
-
hf download hf://cardiffnlp/twitter-roberta-base-sep2020/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cardiffnlp/twitter-roberta-base-sep2020/resolve/main/tokenizer.json
1.36 MB
File too large to display, you can check the raw version instead.