Text Classification
Transformers
TensorBoard
Safetensors
English
Russian
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use stepanom/XLMRoberta-base-amazon-massive-Intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepanom/XLMRoberta-base-amazon-massive-Intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="stepanom/XLMRoberta-base-amazon-massive-Intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("stepanom/XLMRoberta-base-amazon-massive-Intent") model = AutoModelForSequenceClassification.from_pretrained("stepanom/XLMRoberta-base-amazon-massive-Intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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results: []
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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- name: XLMRoberta-base-amazon-massive-Intent
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results: []
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widget:
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- text: staubsauge den flur
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datasets:
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- AmazonScience/massive
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language:
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- en
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- ru
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.41.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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