Fill-Mask
Transformers
PyTorch
ablang2-paired
biology
protein
antibody
ablang
chemistry
oas
cdr
ablang2 hf implementation
roberta
ESM
ablang2
antibody-design
custom_code
Instructions to use hemantn/ablang2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hemantn/ablang2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hemantn/ablang2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hemantn/ablang2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"name": "AbLang-2", "n_encoder_blocks": 12, "hidden_embed_size": 480, "n_attn_heads": 20, "a_fn": "swiglu", "layer_norm_eps": 1e-12, "pad_tkn": 21, "start_tkn": 0, "end_tkn": 22, "sep_tkn": 25, "mask_tkn": 23, "vocab_size": 26} |