Instructions to use SkywalkerLu/TransHLA_II with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkywalkerLu/TransHLA_II with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SkywalkerLu/TransHLA_II", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SkywalkerLu/TransHLA_II", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 543 Bytes
29c8230 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"architectures": [
"TransHLA_II_Model"
],
"auto_map": {
"AutoConfig": "configuration_TransHLA_II.TransHLA_II_Config",
"AutoModel": "modeling_TransHLA_II.TransHLA_II_Model"
},
"cnn_kernel_size": 3,
"cnn_num_channel": 256,
"cnn_padding_index": 0,
"cnn_padding_size": 1,
"cnn_stride": 1,
"d_ff": 64,
"d_model": 1280,
"max_len": 21,
"model_type": "TransHLA",
"n_head": 8,
"n_layers": 6,
"pooling_size": 2,
"region_embedding_size": 3,
"torch_dtype": "float32",
"transformers_version": "4.24.0"
}
|