Instructions to use mukherjeearnab/opsolBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mukherjeearnab/opsolBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mukherjeearnab/opsolBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mukherjeearnab/opsolBERT") model = AutoModelForMaskedLM.from_pretrained("mukherjeearnab/opsolBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0001b4b354f56c11d6e8db98184900a360653b0f9914e0fd26c3f492c953ee2
- Size of remote file:
- 334 MB
- SHA256:
- 83a07b3037f956cf5db5e93f46abe9dd6b3f804233098488184ec47785ce9ea6
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