Instructions to use martomor/bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use martomor/bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="martomor/bert_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("martomor/bert_model") model = AutoModelForSequenceClassification.from_pretrained("martomor/bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70a8e55957b0c244d13245072cee51fd3455721fbf46070e08798103f0709fcc
- Size of remote file:
- 3.25 kB
- SHA256:
- e44932b828b71ea2fc799cf78c0e1ad5360771afbda463784bee0c9b2981871f
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