Instructions to use eclec/patentClassificationLongFormerTextrank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/patentClassificationLongFormerTextrank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/patentClassificationLongFormerTextrank")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/patentClassificationLongFormerTextrank") model = AutoModelForSequenceClassification.from_pretrained("eclec/patentClassificationLongFormerTextrank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 0
971db5c
-
Training in progress, epoch 1
e7acca8 -
Training in progress, epoch 1
e6d08e2 -
Training in progress, epoch 1
0546a9b -
Training in progress, epoch 1
4aed586 -
Training in progress, epoch 1
e673745
-
Training in progress, epoch 1
11f1947 -
Training in progress, epoch 1
6c82dd6 -
Training in progress, epoch 1
6c60cc8 -
Training in progress, epoch 1
d8f49e7 -
Training in progress, epoch 1
5c243aa -
Training in progress, epoch 1
d1130b1
-
Training in progress, epoch 1
3c08d6b
-
Training in progress, epoch 0
6ed6ba5
-
Training in progress, epoch 1
596b349
-
Training in progress, epoch 0
825d26c -
Training in progress, epoch 1
5793068 -
Training in progress, epoch 1
0093169 -
Training in progress, epoch 1
a73573e -
Training in progress, epoch 1
0236da5