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
| #!/usr/bin/env python | |
| from argparse import ArgumentParser | |
| from datasets.commands.delete_from_hub import DeleteFromHubCommand | |
| from datasets.commands.env import EnvironmentCommand | |
| from datasets.commands.test import TestCommand | |
| from datasets.utils.logging import set_verbosity_info | |
| def parse_unknown_args(unknown_args): | |
| return {key.lstrip("-"): value for key, value in zip(unknown_args[::2], unknown_args[1::2])} | |
| def main(): | |
| parser = ArgumentParser( | |
| "HuggingFace Datasets CLI tool", usage="datasets-cli <command> [<args>]", allow_abbrev=False | |
| ) | |
| commands_parser = parser.add_subparsers(help="datasets-cli command helpers") | |
| set_verbosity_info() | |
| # Register commands | |
| EnvironmentCommand.register_subcommand(commands_parser) | |
| TestCommand.register_subcommand(commands_parser) | |
| DeleteFromHubCommand.register_subcommand(commands_parser) | |
| # Parse args | |
| args, unknown_args = parser.parse_known_args() | |
| if not hasattr(args, "func"): | |
| parser.print_help() | |
| exit(1) | |
| kwargs = parse_unknown_args(unknown_args) | |
| # Run | |
| service = args.func(args, **kwargs) | |
| service.run() | |
| if __name__ == "__main__": | |
| main() | |