Instructions to use poltextlab/xlm-roberta-large-i5-binary-codebook-v14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poltextlab/xlm-roberta-large-i5-binary-codebook-v14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="poltextlab/xlm-roberta-large-i5-binary-codebook-v14")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("poltextlab/xlm-roberta-large-i5-binary-codebook-v14") model = AutoModelForSequenceClassification.from_pretrained("poltextlab/xlm-roberta-large-i5-binary-codebook-v14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_path": "xlm-roberta-large", | |
| "model_type": "encoder", | |
| "learning_rate": 1e-05, | |
| "epochs": 8, | |
| "batch_size": 16, | |
| "max_seq_length": 256, | |
| "domain": "migration" | |
| } |