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
File size: 177 Bytes
dacfd5c | 1 2 3 4 5 6 7 8 9 | {
"model_path": "xlm-roberta-large",
"model_type": "encoder",
"learning_rate": 1e-05,
"epochs": 8,
"batch_size": 16,
"max_seq_length": 256,
"domain": "migration"
} |