Instructions to use LDD/bert_mlm_new2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LDD/bert_mlm_new2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LDD/bert_mlm_new2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LDD/bert_mlm_new2") model = AutoModel.from_pretrained("LDD/bert_mlm_new2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0bfc192 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:866bb5ae7a632ce7c4f4545a377fd105bd257d44324cd85501b419da6287d372
size 409137201
|