Instructions to use rg089/bert_newspaper_source with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rg089/bert_newspaper_source with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rg089/bert_newspaper_source")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rg089/bert_newspaper_source") model = AutoModelForSequenceClassification.from_pretrained("rg089/bert_newspaper_source", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfabb3c850e022bc82ccc8c8241b71ce2c6f6e6f2df3ba60d911af263eecdb0a
- Size of remote file:
- 438 MB
- SHA256:
- 8dd228ba9923daa2dfb3e643d3250a784c1905d35968e4d2f0d5d4cf6e142f47
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