Instructions to use iamthe66epitaph/BabyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamthe66epitaph/BabyAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iamthe66epitaph/BabyAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iamthe66epitaph/BabyAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| import os | |
| import tempfile | |
| import pickle | |
| from mpmath import * | |
| def pickler(obj): | |
| fn = tempfile.mktemp() | |
| f = open(fn, 'wb') | |
| pickle.dump(obj, f) | |
| f.close() | |
| f = open(fn, 'rb') | |
| obj2 = pickle.load(f) | |
| f.close() | |
| os.remove(fn) | |
| return obj2 | |
| def test_pickle(): | |
| obj = mpf('0.5') | |
| assert obj == pickler(obj) | |
| obj = mpc('0.5','0.2') | |
| assert obj == pickler(obj) | |