Text Classification
Transformers
Safetensors
PyTorch
English
roberta
question-answering
text-embeddings-inference
Instructions to use whitedevil0089devil/roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whitedevil0089devil/roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="whitedevil0089devil/roberta_base", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("whitedevil0089devil/roberta_base") model = AutoModelForSequenceClassification.from_pretrained("whitedevil0089devil/roberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6ac78391236bfea36dac83d09ee5778ea3f16f8a41b5f28cf67c533f8303eeb
- Size of remote file:
- 1.06 kB
- SHA256:
- 77067fcc0e199878c9a524b1cc19db7ecc014125bcc684d1bdb08873fc7777ba
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