Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use konrad-wesub/roberta-base-iphone-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use konrad-wesub/roberta-base-iphone-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="konrad-wesub/roberta-base-iphone-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("konrad-wesub/roberta-base-iphone-2") model = AutoModelForSequenceClassification.from_pretrained("konrad-wesub/roberta-base-iphone-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2743c8b23e991855172648729cb545a1a5ceb2e453f54fa042379c587001391
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size 1112209216
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