Instructions to use tner/roberta-large-tweebank-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-tweebank-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-tweebank-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-tweebank-ner") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-tweebank-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f57ee0b7f3dbe4b96218ab6a0cc70e39f05d04ae936b1914fc5f10cd4245752a
- Size of remote file:
- 1.42 GB
- SHA256:
- efe2cbb6e410b9966f6492b2a81b2819eb187a5fdb87ee532526bb7d42226552
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