Instructions to use anasrz/finetuning-hyperpartisan-model-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anasrz/finetuning-hyperpartisan-model-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anasrz/finetuning-hyperpartisan-model-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anasrz/finetuning-hyperpartisan-model-samples") model = AutoModelForSequenceClassification.from_pretrained("anasrz/finetuning-hyperpartisan-model-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e7f8b28092356bb27234fcbfaaa5e8a4dec86b925d9cd3ffd7fd9b4a94c691d
- Size of remote file:
- 268 MB
- SHA256:
- 243b8f4ccf32b8ff0b0560c10d9a50cba3178eaf498bd7f99bf98ea1a72eaaad
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