Instructions to use JaySenpai/bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JaySenpai/bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JaySenpai/bert-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JaySenpai/bert-model") model = AutoModelForSequenceClassification.from_pretrained("JaySenpai/bert-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 438 MB
- SHA256:
- 8ac136502c635e24fa5c0d874bd726315da657773d35d14fb4277659e8fe5b11
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