Text Classification
Transformers
Safetensors
Bosnian
Croatian
Serbian
xlm-roberta
language-identification
bosnian
croatian
serbian
south-slavic
text-embeddings-inference
Instructions to use absltnull/RoBERTo-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use absltnull/RoBERTo-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="absltnull/RoBERTo-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("absltnull/RoBERTo-v2") model = AutoModelForSequenceClassification.from_pretrained("absltnull/RoBERTo-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8e95897565808d22df32c6b1bbd5264521982b1118e5f1ffda0d11da931a4af
- Size of remote file:
- 5.2 kB
- SHA256:
- 4a122d27f1f59b9126e9fc35e39012fcfdb8290578d107d6c0335ce9c4c1540e
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