Instructions to use mktr/SODA-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mktr/SODA-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mktr/SODA-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mktr/SODA-BERT") model = AutoModelForSequenceClassification.from_pretrained("mktr/SODA-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53ef12b836c0995a1fc1a545ead7b28bab5dfa6562db220de39bf1bc3032228d
- Size of remote file:
- 5.24 kB
- SHA256:
- e38ae8b30b3e1bbb568fe13652815e72b86a28a63a29e26be33cbc5c19a84bd3
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