Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use miguelpr/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miguelpr/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="miguelpr/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("miguelpr/roberta-base") model = AutoModelForSequenceClassification.from_pretrained("miguelpr/roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2bcf3835600df6f74a5d140761719e9658ebb3db9b4964366c4e709bf921484
- Size of remote file:
- 4.92 kB
- SHA256:
- dba84898b574315f63029868e46e787c92df7fb5d12c32122fe37f45f7b38ca4
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