Instructions to use NeonSamurai/bert_base_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeonSamurai/bert_base_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NeonSamurai/bert_base_v1", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NeonSamurai/bert_base_v1") model = AutoModelForSequenceClassification.from_pretrained("NeonSamurai/bert_base_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e266ce606400bcf717cd80ba4fd3b2e034aff091c5a721a1aeb69e95cd61071
- Size of remote file:
- 438 MB
- SHA256:
- f2289500f420e1f89002f50bc26dae5ae2b8a7ae0536745895d28eb08e01cf67
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