Instructions to use dennlinger/roberta-cls-consec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dennlinger/roberta-cls-consec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dennlinger/roberta-cls-consec")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dennlinger/roberta-cls-consec") model = AutoModelForSequenceClassification.from_pretrained("dennlinger/roberta-cls-consec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): 778abea
Update the correct AutoModel
Browse files
README.md
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# Load the model
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```python
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from transformers import
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tokenizer = AutoTokenizer.from_pretrained('dennlinger/roberta-cls-consec')
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model =
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```
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# Input Format
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# Load the model
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```python
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from transformers import AutoModelForSequenceClassification, AutoTokenizer
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tokenizer = AutoTokenizer.from_pretrained('dennlinger/roberta-cls-consec')
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model = AutoModelForSequenceClassification.from_pretrained('dennlinger/roberta-cls-consec')
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```
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# Input Format
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