Instructions to use KIK99/roberta-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KIK99/roberta-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KIK99/roberta-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KIK99/roberta-model") model = AutoModelForSequenceClassification.from_pretrained("KIK99/roberta-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 543b85702e0450b714324966e50784b4c99b346a934ef1a9ffabff09a186c215
- Size of remote file:
- 499 MB
- SHA256:
- def316d13f26e103c82f41171d3c91da53fbe54d3ed66331e6a32229aaecbba9
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