Instructions to use Taykhoom/RNA-MSM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/RNA-MSM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/RNA-MSM", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/RNA-MSM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoConfig": "configuration_rnamsm.RNAMSMConfig", | |
| "AutoModel": "modeling_rnamsm.RNAMSMModel", | |
| "AutoModelForMaskedLM": "modeling_rnamsm.RNAMSMForMaskedLM" | |
| }, | |
| "activation_dropout": 0.1, | |
| "architectures": [ | |
| "RNAMSMForMaskedLM" | |
| ], | |
| "attention_dropout": 0.1, | |
| "cls_idx": 0, | |
| "dropout": 0.1, | |
| "embed_dim": 768, | |
| "embed_positions_msa": true, | |
| "eos_idx": 2, | |
| "ffn_embed_dim": 3072, | |
| "mask_idx": 11, | |
| "max_alignments": 1024, | |
| "max_positions": 1024, | |
| "max_tokens_per_msa": 16384, | |
| "model_type": "rnamsm", | |
| "num_attention_heads": 12, | |
| "num_layers": 10, | |
| "padding_idx": 1, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 12 | |
| } | |