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:
- da3754ce5fbbe8c2607d87aac90818fd6cf77898324d7127c3903f5986f12deb
- Size of remote file:
- 268 MB
- SHA256:
- f518e9803e1543f8d21d8bdb79b7b54f19901c73d4fb4781328c0b508108269f
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