Instructions to use Contrastive-Tension/BERT-Base-CT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Contrastive-Tension/BERT-Base-CT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Contrastive-Tension/BERT-Base-CT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Contrastive-Tension/BERT-Base-CT") model = AutoModelForMaskedLM.from_pretrained("Contrastive-Tension/BERT-Base-CT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 279df67f7b119225e8164dad504aa6811bbcab7d761c2bdfb9d89242cf352d0f
- Size of remote file:
- 438 MB
- SHA256:
- 5cfe2d3d563e89d0fc2fdbd609502be6badc8a7351228de2976c560df319cc9c
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