Instructions to use jhan21/distilBERT-finetuned-version2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jhan21/distilBERT-finetuned-version2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jhan21/distilBERT-finetuned-version2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jhan21/distilBERT-finetuned-version2") model = AutoModelForSequenceClassification.from_pretrained("jhan21/distilBERT-finetuned-version2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34d96e401fb1fbebae6f040108a362c43c713ed8a874f5c533a61b39dcf34215
- Size of remote file:
- 4.6 kB
- SHA256:
- 182bd293dd44fa1de6b2c9a6a18cfdfeaa9692d887ac378b6aa09219eac0cd9d
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