Instructions to use mnaylor/psychbert-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnaylor/psychbert-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mnaylor/psychbert-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mnaylor/psychbert-cased") model = AutoModelForMaskedLM.from_pretrained("mnaylor/psychbert-cased") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
505f030 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fa9922fcba7adb4a0379371da339d27c88c76650ec8cefe3abd6961822f13b9c
size 433370483
|