Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use dariast/FacebookAI_roberta-large_custom_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dariast/FacebookAI_roberta-large_custom_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dariast/FacebookAI_roberta-large_custom_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dariast/FacebookAI_roberta-large_custom_data") model = AutoModelForSequenceClassification.from_pretrained("dariast/FacebookAI_roberta-large_custom_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e27ef982c40633b56b3e33e9bbbffcaf00054fabd78448af66726681ae83ffa
- Size of remote file:
- 5.43 kB
- SHA256:
- 60733b49e0214787738949be8eaae5f1f0029d88be247a2247bb2b7fe8a660f6
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