configs
Helper module for using model configs. For more information, see the corresponding Python documentation.
Example: Load an AutoConfig.
import { AutoConfig } from '@xenova/transformers';
let 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,
// ...
// }- configs
- static
- .PretrainedConfig
new PretrainedConfig(configJSON).from_pretrained(pretrained_model_name_or_path, options)βPromise.<PretrainedConfig>
- .AutoConfig
.from_pretrained():PretrainedConfig.from_pretrained
- .PretrainedConfig
- inner
~loadConfig(pretrained_model_name_or_path, options)βPromise.<Array>~PretrainedOptions:*
- static
configs.PretrainedConfig
Base class for all configuration classes. For more information, see the corresponding Python documentation.
Kind: static class of configs
- .PretrainedConfig
new PretrainedConfig(configJSON).from_pretrained(pretrained_model_name_or_path, options)βPromise.<PretrainedConfig>
new PretrainedConfig(configJSON)
Create a new PreTrainedTokenizer instance.
| Param | Type | Description |
|---|---|---|
| configJSON | Object | The JSON of the config. |
PretrainedConfig.from_pretrained(pretrained_model_name_or_path, options) β Promise.<PretrainedConfig>
Loads a pre-trained config from the given pretrained_model_name_or_path.
Kind: static method of PretrainedConfig
Returns: Promise.<PretrainedConfig> - A new instance of the PretrainedConfig class.
Throws:
ErrorThrows an error if the config.json is not found in the `pretrained_model_name_or_path`.
| Param | Type | Description |
|---|---|---|
| pretrained_model_name_or_path | string | The path to the pre-trained config. |
| options | PretrainedOptions | Additional options for loading the config. |
configs.AutoConfig
Helper class which is used to instantiate pretrained configs with the from_pretrained function.
Kind: static class of configs
AutoConfig.from_pretrained() : PretrainedConfig.from_pretrained
Kind: static method of AutoConfig
configs~loadConfig(pretrained_model_name_or_path, options) β Promise.<Array>
Loads a config from the specified path.
Kind: inner method of configs
Returns: Promise.<Array> - A promise that resolves with information about the loaded config.
| Param | Type | Description |
|---|---|---|
| pretrained_model_name_or_path | string | The path to the config directory. |
| options | PretrainedOptions | Additional options for loading the config. |
configs~PretrainedOptions : *
Kind: inner typedef of configs