Instructions to use cardiffnlp/twitter-roberta-base-2021-124m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/twitter-roberta-base-2021-124m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cardiffnlp/twitter-roberta-base-2021-124m")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/twitter-roberta-base-2021-124m") model = AutoModelForMaskedLM.from_pretrained("cardiffnlp/twitter-roberta-base-2021-124m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from cardiffnlp/twitter-roberta-base-2021-124m: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m/resolve/ca5834113201de5c7cfbc395a532c6adeeddfa83/vocab.json
- Command line
-
hf download hf://cardiffnlp/twitter-roberta-base-2021-124m@ca5834113201de5c7cfbc395a532c6adeeddfa83/vocab.json
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curl -L -o vocab.json https://huggingface.co/cardiffnlp/twitter-roberta-base-2021-124m/resolve/ca5834113201de5c7cfbc395a532c6adeeddfa83/vocab.json
798 kB
File too large to display, you can check the raw version instead.