Instructions to use hallisky/amt-classifier-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hallisky/amt-classifier-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hallisky/amt-classifier-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hallisky/amt-classifier-roberta-large") model = AutoModelForSequenceClassification.from_pretrained("hallisky/amt-classifier-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fd2e5a854466f751de5357f220038468835e6b5cfaff81a8283bc6c6d40dd8d
- Size of remote file:
- 4.92 kB
- SHA256:
- 341a94260346a9cd04bb1b76b2f75d7df3df564fee684d0d747abb6aa98713bd
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