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:
- d7d9c4f454d5c2b7558e3163dc68308de3b749c447e90ac96942f5ee11e8cd99
- Size of remote file:
- 499 MB
- SHA256:
- a5e075ca9b32fa9a6dd4f124a7cb06eb2c59c1ac51d22f706011f9b0e975406c
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