Instructions to use Aaditya1/Graphormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aaditya1/Graphormer with Transformers:
# Load model directly from transformers import GraphormerForGraphClassification model = GraphormerForGraphClassification.from_pretrained("Aaditya1/Graphormer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # Copyright 2020 The HuggingFace Team. All rights reserved. | |
| # | |
| # 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. | |
| from typing import TYPE_CHECKING | |
| from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available | |
| _import_structure = { | |
| "configuration_graphormer": ["GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "GraphormerConfig"], | |
| } | |
| try: | |
| if not is_torch_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| _import_structure["modeling_graphormer"] = [ | |
| "GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST", | |
| "GraphormerForGraphClassification", | |
| "GraphormerModel", | |
| "GraphormerPreTrainedModel", | |
| ] | |
| if TYPE_CHECKING: | |
| from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig | |
| try: | |
| if not is_torch_available(): | |
| raise OptionalDependencyNotAvailable() | |
| except OptionalDependencyNotAvailable: | |
| pass | |
| else: | |
| from .modeling_graphormer import ( | |
| GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST, | |
| GraphormerForGraphClassification, | |
| GraphormerModel, | |
| GraphormerPreTrainedModel, | |
| ) | |
| else: | |
| import sys | |
| sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__) |