Instructions to use tner/roberta-large-tweetner7-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-tweetner7-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-tweetner7-random")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-tweetner7-random") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-tweetner7-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from tner/roberta-large-tweetner7-random: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
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https://huggingface.co/tner/roberta-large-tweetner7-random/resolve/main/vocab.json
- Command line
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hf download hf://tner/roberta-large-tweetner7-random/vocab.json
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curl -L -o vocab.json https://huggingface.co/tner/roberta-large-tweetner7-random/resolve/main/vocab.json
798 kB
File too large to display, you can check the raw version instead.