Instructions to use MoritzLaurer/policy-distilbert-7d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MoritzLaurer/policy-distilbert-7d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MoritzLaurer/policy-distilbert-7d")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MoritzLaurer/policy-distilbert-7d") model = AutoModelForSequenceClassification.from_pretrained("MoritzLaurer/policy-distilbert-7d") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5770e21e665f9d8df063b8bccb237bc3e1961f3e6617eac0570e8f6fabd7d35
- Size of remote file:
- 1.9 kB
- SHA256:
- b3a23bfe2a3ae780e4c69e0b4ef3e46a2722538095c4390c2c25afda1cd9b21e
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