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
File size: 129 Bytes
86c1bc3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b3a23bfe2a3ae780e4c69e0b4ef3e46a2722538095c4390c2c25afda1cd9b21e
size 1903
|