Instructions to use tner/roberta-large-btc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-btc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-btc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-btc") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-btc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7b9e4012d1bc8d81e6c4bcf35e28479908e1b1daea707033f4a55ca94d97c8c
- Size of remote file:
- 1.42 GB
- SHA256:
- 16f8f1ba74685d88be263d50682477f626ea82e4733881187999d13ee9ce952c
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