Instructions to use Shunian/mbti-classification-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shunian/mbti-classification-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shunian/mbti-classification-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shunian/mbti-classification-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("Shunian/mbti-classification-bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 408955a519bdfa9d60fb495a040ac1aa2533f07e392966884618c13161fe5bb7
- Size of remote file:
- 438 MB
- SHA256:
- 4872d85c20d6e2969f3fda874b4f291809d64e22c1129defea72584444df3dd1
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