Fill-Mask
Transformers
PyTorch
Safetensors
roberta
chemistry
biology
protein
antibodies
antibody
light chain
AbLang
CDR
OAS
custom_code
Instructions to use qilowoq/AbLang_light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qilowoq/AbLang_light with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="qilowoq/AbLang_light", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("qilowoq/AbLang_light", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("qilowoq/AbLang_light", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2f6ba290ba426cc1e459717d2a0f1ec0b1d99bcf915294cb804565b8c38159a
- Size of remote file:
- 343 MB
- SHA256:
- a5a3698f13e51498371f2165a138630ca3acf3f5e66d249ba5c4f2ff857e385a
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