Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use qandos0/SentArEng_V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qandos0/SentArEng_V0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="qandos0/SentArEng_V0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("qandos0/SentArEng_V0") model = AutoModelForSequenceClassification.from_pretrained("qandos0/SentArEng_V0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9627bac5043162062d7245c3a04b2f75da56190c16c3d79e794e510246c689f7
- Size of remote file:
- 4.16 kB
- SHA256:
- a40590a3260ce5f4807be95baf1d0ce597013250f0bc6e673dee2f053f04db34
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