Instructions to use Taykhoom/RNAErnie2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/RNAErnie2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/RNAErnie2", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/RNAErnie2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "RNAErnie2ForMaskedLM" | |
| ], | |
| "model_type": "rnaernie2", | |
| "auto_map": { | |
| "AutoConfig": "configuration_rnaernie2.RNAErnie2Config", | |
| "AutoModel": "modeling_rnaernie2.RNAErnie2Model", | |
| "AutoModelForMaskedLM": "modeling_rnaernie2.RNAErnie2ForMaskedLM" | |
| }, | |
| "vocab_size": 11, | |
| "hidden_size": 768, | |
| "num_hidden_layers": 12, | |
| "num_attention_heads": 12, | |
| "intermediate_size": 3072, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "attention_probs_dropout_prob": 0.1, | |
| "max_position_embeddings": 2048, | |
| "type_vocab_size": 2, | |
| "layer_norm_eps": 1e-05, | |
| "pad_token_id": 0, | |
| "initializer_range": 0.02, | |
| "transformers_version": "4.57.6", | |
| "model_max_length": 2048 | |
| } | |