chore: update node_modules with new binary files and dependencies

- Add new binary files for nodemon, onnxruntime-web, and xenova/transformers
- Update various JavaScript and TypeScript files in node_modules
- Remove unused files and dependencies
- Add new test fixtures and documentation files

node_modules/@xenova/transformers/src/configs.js

@@ -0,0 +1,107 @@
+
+/**
+ * @file 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 '@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,
+ * //   ...
+ * // }
+ * ```
+ * 
+ * @module configs
+ */
+
+import {
+    getModelJSON,
+} from './utils/hub.js';
+
+/**
+ * @typedef {import('./utils/hub.js').PretrainedOptions} PretrainedOptions
+ */
+
+
+/**
+ * Loads a config from the specified path.
+ * @param {string} pretrained_model_name_or_path The path to the config directory.
+ * @param {PretrainedOptions} options Additional options for loading the config.
+ * @returns {Promise<Array>} A promise that resolves with information about the loaded config.
+ */
+async function loadConfig(pretrained_model_name_or_path, options) {
+    let info = await getModelJSON(pretrained_model_name_or_path, 'config.json', true, options);
+    return info;
+}
+
+/**
+ * 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).
+ */
+export class PretrainedConfig {
+    // NOTE: Typo in original
+
+    /**
+     * Create a new PreTrainedTokenizer instance.
+     * @param {Object} configJSON The JSON of the config.
+     */
+    constructor(configJSON) {
+        this.model_type = null;
+        this.is_encoder_decoder = false;
+
+        Object.assign(this, configJSON);
+    }
+
+    /**
+     * Loads a pre-trained config from the given `pretrained_model_name_or_path`. 
+     * 
+     * @param {string} pretrained_model_name_or_path The path to the pre-trained config.
+     * @param {PretrainedOptions} options Additional options for loading the config.
+     * @throws {Error} Throws an error if the config.json is not found in the `pretrained_model_name_or_path`.
+     * 
+     * @returns {Promise<PretrainedConfig>} A new instance of the `PretrainedConfig` class.
+     */
+    static async from_pretrained(pretrained_model_name_or_path, {
+        progress_callback = null,
+        config = null,
+        cache_dir = null,
+        local_files_only = false,
+        revision = 'main',
+    } = {}) {
+
+        let data = config ?? await loadConfig(pretrained_model_name_or_path, {
+            progress_callback,
+            config,
+            cache_dir,
+            local_files_only,
+            revision,
+        })
+        return new this(data);
+    }
+}
+
+/**
+ * Helper class which is used to instantiate pretrained configs with the `from_pretrained` function.
+ * 
+ * @example
+ * let config = await AutoConfig.from_pretrained('bert-base-uncased'); 
+ */
+export class AutoConfig {
+    /** @type {PretrainedConfig.from_pretrained} */
+    static async from_pretrained(...args) {
+        return PretrainedConfig.from_pretrained(...args);
+    }
+}