Instructions to use facebook/esm2_t30_150M_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/esm2_t30_150M_UR50D with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/esm2_t30_150M_UR50D")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/esm2_t30_150M_UR50D") model = AutoModelForMaskedLM.from_pretrained("facebook/esm2_t30_150M_UR50D") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
b57d162
1
Parent(s): d7adc1e
Upload tokenizer
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
CHANGED
|
@@ -1,3 +1,4 @@
|
|
| 1 |
{
|
|
|
|
| 2 |
"tokenizer_class": "EsmTokenizer"
|
| 3 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 3 |
"tokenizer_class": "EsmTokenizer"
|
| 4 |
}
|