Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
text-embeddings-inference
Instructions to use Joshwabail/xlm-roberta-absa-sequence-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Joshwabail/xlm-roberta-absa-sequence-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Joshwabail/xlm-roberta-absa-sequence-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Joshwabail/xlm-roberta-absa-sequence-classification") model = AutoModelForSequenceClassification.from_pretrained("Joshwabail/xlm-roberta-absa-sequence-classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
b295122
1
Parent(s): 82405f7
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (bf7fedba24c878f5fc72dbf9b32b74e0250e426b)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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