Instructions to use tp-collab/roberta-b-124m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tp-collab/roberta-b-124m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tp-collab/roberta-b-124m")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tp-collab/roberta-b-124m") model = AutoModelForSequenceClassification.from_pretrained("tp-collab/roberta-b-124m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1d1fc5320383c8f15562765e817a7942672b2ba490f8f93a260770986e6e186
- Size of remote file:
- 3.25 kB
- SHA256:
- 3960e154e440c5775b62730379f10f67374716fe984363666e5ce49827b008ea
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