Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use phunganhsang/Revision_Meta_XLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/Revision_Meta_XLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phunganhsang/Revision_Meta_XLM")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phunganhsang/Revision_Meta_XLM") model = AutoModelForSequenceClassification.from_pretrained("phunganhsang/Revision_Meta_XLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3f9d215727a34c8e9399bce2c2ab6dfe7d15c2b03b3cf66046321a5213e5cd3
- Size of remote file:
- 5.2 kB
- SHA256:
- 696b0aab82b9d5fba8f3eada235e7af3e3c278c577aca47cf439065444700082
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