Instructions to use DimitriosPanagoulias/MemoryBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimitriosPanagoulias/MemoryBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DimitriosPanagoulias/MemoryBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DimitriosPanagoulias/MemoryBERT") model = AutoModelForSequenceClassification.from_pretrained("DimitriosPanagoulias/MemoryBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
172718d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c55934c2244a51df2a5cf8ac35b6f9007a3a3f9438405c5030ae327efd2b2e81
size 498667121
|