Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use dariast/FacebookAI_roberta-base_custom_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dariast/FacebookAI_roberta-base_custom_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dariast/FacebookAI_roberta-base_custom_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dariast/FacebookAI_roberta-base_custom_data") model = AutoModelForSequenceClassification.from_pretrained("dariast/FacebookAI_roberta-base_custom_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 538c02f1e97ff6ff4df02022b105db94451b171738c4bf17f74f560879ec95fc
- Size of remote file:
- 5.3 kB
- SHA256:
- 1cfb7a3eb3fffa47db7283b605b5ee00f3a9814ab227a719047de2266a206fd9
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