Instructions to use multimolecule/ablang2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MultiMolecule
How to use multimolecule/ablang2 with MultiMolecule:
pip install multimolecule
from multimolecule import AutoModel, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("multimolecule/ablang2") model = AutoModel.from_pretrained("multimolecule/ablang2") inputs = tokenizer("MANLGCWMLVLFVATWSDLGLCKKRPKPGGWNTGGSRYPGQGSPGGNRYPPQGGGGWGQPHGGGWGQPHGGGWGQPHGGGWGQPHGGGWGQGGGTHSQWNKPSKPKTNMKHMAGAAAAGAVVGGLGGYMLGSAMSRPIIHFGSDYEDRYYRENMHRYPNQVYYRPMDEYSNQNNFVHDCVNITIKQHTVTTTTKGENFTETDVKMMERVVEQMCITQYERESQAYYQRGSSMVLFSSPPVILLISFLIFLIVG", return_tensors="pt") outputs = model(**inputs) embeddings = outputs.last_hidden_stateimport multimolecule from transformers import pipeline predictor = pipeline("fill-mask", model="multimolecule/ablang2") output = predictor("MANLGCWMLVLFV<mask>TWSDLGLCKKRPKPGGWNTGGSRYPGQGSPGGNRYPPQGGGGWGQPHGGGWGQPHGGGWGQPHGGGWGQPHGGGWGQGGGTHSQWNKPSKPKTNMKHMAGAAAAGAVVGGLGGYMLGSAMSRPIIHFGSDYEDRYYRENMHRYPNQVYYRPMDEYSNQNNFVHDCVNITIKQHTVTTTTKGENFTETDVKMMERVVEQMCITQYERESQAYYQRGSSMVLFSSPPVILLISFLIFLIVG") - Notebooks
- Google Colab
- Kaggle
File size: 970 Bytes
e2477a4 | 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 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | {
"architectures": [
"AbLang2ForPreTraining"
],
"attention_bias": true,
"attention_dropout": 0.0,
"bos_token_id": 1,
"dtype": "float32",
"eos_token_id": 2,
"feedforward_bias": true,
"head": null,
"hidden_act": "swiglu",
"hidden_dropout": 0.0,
"hidden_size": 480,
"id2label": null,
"initializer_range": 0.02,
"intermediate_size": 1920,
"label2id": null,
"layer_norm_eps": 1e-12,
"lm_head": {
"act": null,
"bias": true,
"dropout": 0.0,
"hidden_size": 480,
"layer_norm_eps": 1e-12,
"loss_weight": null,
"output_name": null,
"transform": null,
"transform_act": "swiglu"
},
"mask_token_id": 4,
"model_type": "ablang2",
"null_token_id": 5,
"num_attention_heads": 20,
"num_hidden_layers": 12,
"num_labels": 1,
"pad_token_id": 0,
"rotary_base": 10000.0,
"sep_token_id": 32,
"tie_word_embeddings": true,
"transformers_version": "5.9.0",
"unk_token_id": 3,
"vocab_size": 37
}
|