Instructions to use kumarme072/med_model_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumarme072/med_model_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kumarme072/med_model_1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kumarme072/med_model_1") model = AutoModelForMaskedLM.from_pretrained("kumarme072/med_model_1") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
6ae4050 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f1ea5a87ed72ca1ea14d7e9d6742130064151ec48b3bc2ccc492141df509db3e
size 667002984
|