Instructions to use InstaDeepAI/nucleotide-transformer-v2-50m-multi-species with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/nucleotide-transformer-v2-50m-multi-species with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InstaDeepAI/nucleotide-transformer-v2-50m-multi-species", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("InstaDeepAI/nucleotide-transformer-v2-50m-multi-species", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c8e88fd
1
Parent(s): cd0c26b
Update config.json
Browse files- config.json +6 -2
config.json
CHANGED
|
@@ -1,12 +1,16 @@
|
|
| 1 |
{
|
| 2 |
"add_bias_fnn": false,
|
| 3 |
"architectures": [
|
| 4 |
-
"EsmForMaskedLM"
|
|
|
|
|
|
|
| 5 |
],
|
| 6 |
"attention_probs_dropout_prob": 0.0,
|
| 7 |
"auto_map": {
|
| 8 |
"AutoConfig": "esm_config.EsmConfig",
|
| 9 |
-
"AutoModelForMaskedLM": "modeling_esm.EsmForMaskedLM"
|
|
|
|
|
|
|
| 10 |
},
|
| 11 |
"emb_layer_norm_before": false,
|
| 12 |
"esmfold_config": null,
|
|
|
|
| 1 |
{
|
| 2 |
"add_bias_fnn": false,
|
| 3 |
"architectures": [
|
| 4 |
+
"EsmForMaskedLM",
|
| 5 |
+
"EsmForTokenClassification",
|
| 6 |
+
"EsmForSequenceClassification"
|
| 7 |
],
|
| 8 |
"attention_probs_dropout_prob": 0.0,
|
| 9 |
"auto_map": {
|
| 10 |
"AutoConfig": "esm_config.EsmConfig",
|
| 11 |
+
"AutoModelForMaskedLM": "modeling_esm.EsmForMaskedLM",
|
| 12 |
+
"AutoModelForTokenClassification": "modeling_esm.EsmForTokenClassification",
|
| 13 |
+
"AutoModelForSequenceClassification": "modeling_esm.EsmForSequenceClassification"
|
| 14 |
},
|
| 15 |
"emb_layer_norm_before": false,
|
| 16 |
"esmfold_config": null,
|