Buckets:

|
download
raw
4.4 kB
# configs
Helper module for using model configs. For more information, see the corresponding
[Python documentation](https://huggingface.co/docs/transformers/main/en/model_doc/auto#transformers.AutoConfig).
**Example:** Load an `AutoConfig`.
```javascript
import { AutoConfig } from '@huggingface/transformers';
const config = await AutoConfig.from_pretrained('bert-base-uncased');
console.log(config);
// PretrainedConfig {
// "model_type": "bert",
// "is_encoder_decoder": false,
// "architectures": [
// "BertForMaskedLM"
// ],
// "vocab_size": 30522
// "num_attention_heads": 12,
// "num_hidden_layers": 12,
// "hidden_size": 768,
// "max_position_embeddings": 512,
// ...
// }
```
## Classes
### PretrainedConfig
Base class for all configuration classes. For more information, see the corresponding
[Python documentation](https://huggingface.co/docs/transformers/main/en/main_classes/configuration#transformers.PretrainedConfig).
#### `PretrainedConfig.model_type` : `string` | `null`
**Default:** `null`
#### `PretrainedConfig.is_encoder_decoder` : `boolean`
**Default:** `false`
#### `PretrainedConfig.max_position_embeddings` : `number`
#### `PretrainedConfig.'transformers.js_config'` : [`TransformersJSConfig`](./configs#module_configs.TransformersJSConfig)
#### `PretrainedConfig.constructor(configJSON)`
Create a new `PretrainedConfig` from a parsed `config.json` object.
**Parameters**
- `configJSON` (`Object`) — The JSON of the config.
#### `PretrainedConfig.from_pretrained(pretrained_model_name_or_path, options)`
Loads a pretrained config from the given `pretrained_model_name_or_path`.
**Parameters**
- `pretrained_model_name_or_path` (`string`) — The path to the pretrained config.
- `options` ([`PretrainedOptions`](./utils/hub#module_utils/hub.PretrainedOptions)) — Additional options for loading the config.
**Returns:** `Promise`<[`PretrainedConfig`](./configs#module_configs.PretrainedConfig)> — A new instance of the `PretrainedConfig` class.
**Throws**
- `Error` — Throws an error if the config.json is not found in the `pretrained_model_name_or_path`.
### AutoConfig
Loads a model config from a pretrained id. Thin alias for
`PretrainedConfig.from_pretrained`.
```javascript
import { AutoConfig } from '@huggingface/transformers';
const config = await AutoConfig.from_pretrained('Xenova/bert-base-uncased');
```
#### `AutoConfig.from_pretrained(pretrained_model_name_or_path, options)`
Loads a pretrained config from the given `pretrained_model_name_or_path`.
**Parameters**
- `pretrained_model_name_or_path` (`string`) — The path to the pretrained config.
- `options` ([`PretrainedOptions`](./utils/hub#module_utils/hub.PretrainedOptions)) — Additional options for loading the config.
**Returns:** `Promise`<[`PretrainedConfig`](./configs#module_configs.PretrainedConfig)> — A new instance of the `PretrainedConfig` class.
**Throws**
- `Error` — Throws an error if the config.json is not found in the `pretrained_model_name_or_path`.
## Type Definitions
### TransformersJSConfig
Transformers.js-specific configuration, possibly present in config.json under the key `transformers.js_config`.
**Properties**
- `device_config` (`Record`<[`DeviceType`](./transformers#module_transformers.DeviceType), [`DeviceConfig`](./configs#module_configs.DeviceConfig)>) _optional_ — Device-specific configurations.
- `free_dimension_overrides` (`Record`<`string`, `number`>) _optional_ — Override the free dimensions of the model.
See https://onnxruntime.ai/docs/tutorials/web/env-flags-and-session-options.html#freedimensionoverrides
for more information.
- `device` ([`DeviceType`](./transformers#module_transformers.DeviceType)) _optional_ — The default device to use for the model.
- `dtype` ([`DataType`](./transformers#module_transformers.DataType) | `Record`<`string`, [`DataType`](./transformers#module_transformers.DataType)>) _optional_ — The default data type to use for the model.
- `use_external_data_format` ([`ExternalData`](./utils/hub#module_utils/hub.ExternalData) | `Record`<`string`, [`ExternalData`](./utils/hub#module_utils/hub.ExternalData)>) _optional_ — Whether to load the model using the external data format (used for models >= 2GB in size).
### DeviceConfig
Device-specific configuration options.
_Type:_ `Omit<TransformersJSConfig, 'device' | 'device_config'>`

Xet Storage Details

Size:
4.4 kB
·
Xet hash:
366e29169b92ded4349395c44e7575eff626f9c5a9894bda5423058324b0ef19

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.