Instructions to use tner/roberta-large-tweetner7-selflabel2021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-tweetner7-selflabel2021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-tweetner7-selflabel2021")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-tweetner7-selflabel2021") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-tweetner7-selflabel2021", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4aa7fe6fc88093151c38e3155aa668522de2b73008af9c5339cf8425a5b72d99
- Size of remote file:
- 1.42 GB
- SHA256:
- 8b170f1f088c0228985a46ef65ebc1adfe51c817f47af3c82ae7e586666606c3
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