Instructions to use eclec/patentClassfication3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eclec/patentClassfication3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eclec/patentClassfication3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eclec/patentClassfication3") model = AutoModelForSequenceClassification.from_pretrained("eclec/patentClassfication3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, epoch 1
621edf4
-
Training in progress, epoch 1
ebf87d0 -
Training in progress, epoch 0
55ce94a -
Training in progress, epoch 0
08ef8aa -
Training in progress, epoch 1
3314e0f -
Training in progress, epoch 1
7e23745
-
Training in progress, epoch 1
858896d
-
Training in progress, epoch 0
c459d14 -
Training in progress, epoch 1
cac698b -
Training in progress, epoch 1
7f42b48 -
Training in progress, epoch 1
868a1ab -
Training in progress, epoch 0
4cc3797 -
Training in progress, epoch 1
327bd92
-
Training in progress, epoch 0
8c69aef