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
| # Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| __version__ = "4.1.1" | |
| from .arrow_dataset import Column, Dataset | |
| from .arrow_reader import ReadInstruction | |
| from .builder import ArrowBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder | |
| from .combine import concatenate_datasets, interleave_datasets | |
| from .dataset_dict import DatasetDict, IterableDatasetDict | |
| from .download import * | |
| from .features import * | |
| from .fingerprint import disable_caching, enable_caching, is_caching_enabled | |
| from .info import DatasetInfo | |
| from .inspect import ( | |
| get_dataset_config_info, | |
| get_dataset_config_names, | |
| get_dataset_default_config_name, | |
| get_dataset_infos, | |
| get_dataset_split_names, | |
| ) | |
| from .iterable_dataset import IterableColumn, IterableDataset | |
| from .load import load_dataset, load_dataset_builder, load_from_disk | |
| from .splits import ( | |
| NamedSplit, | |
| NamedSplitAll, | |
| Split, | |
| SplitBase, | |
| SplitDict, | |
| SplitGenerator, | |
| SplitInfo, | |
| SubSplitInfo, | |
| percent, | |
| ) | |
| from .utils import * | |
| from .utils import logging | |