Instructions to use MLMvsCLM/210m-mlm30-42k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLMvsCLM/210m-mlm30-42k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="MLMvsCLM/210m-mlm30-42k", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLMvsCLM/210m-mlm30-42k", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
a447178 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:15beab00fae3c537d1f55271d690785c48a4c379591bb99f387b4223383c9874
size 1241097996
|