Instructions to use cwitcate/mymodel1001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cwitcate/mymodel1001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cwitcate/mymodel1001")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cwitcate/mymodel1001") model = AutoModelForMaskedLM.from_pretrained("cwitcate/mymodel1001", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 59 Bytes
43b7bae | 1 | {"do_lower_case": false, "max_len": 512, "init_inputs": []} |