nlpcloud - npm Package Compare versions

Comparing version 1.0.7 to 1.0.8

package.json

		{
		"name": "nlpcloud",
		"version": "1.0.7",
		"description": "Node.js client for the NLP Cloud API. NLP Cloud serves high performance pre-trained models for NER, sentiment-analysis, classification, summarization, question answering, and POS tagging, ready for production, served through a REST API.\n\nMore details here: https://nlpcloud.io\n\nDocumentation: https://docs.nlpcloud.io",
		"version": "1.0.8",
		"description": "Node.js client for the NLP Cloud API. NLP Cloud serves high performance pre-trained and custom models for NER, sentiment-analysis, classification, summarization, question answering, and POS tagging, ready for production, served through a REST API.\n\nMore details here: https://nlpcloud.io\n\nDocumentation: https://docs.nlpcloud.io",
		"main": "index.js",
		@@ -6,0 +6,0 @@ "scripts": {

README.md

		@@ -7,3 +7,3 @@ # Node.js Client For NLP Cloud

		Pre-trained models are the spaCy models and some transformers-based models from Hugging Face. You can also deploy your own spaCy models.
		Pre-trained models are the spaCy models and some transformers-based models from Hugging Face. You can also deploy your own transformers-based models, or spaCy models.

		@@ -93,3 +93,3 @@ If you face an issue, don't hesitate to raise it as a Github issue. Thanks!

		The model can either be a pretrained model like `en_core_web_lg`, `bart-large-mnli`... but also one of your custom spaCy models using `custom_model/<model id>` (e.g. `custom_model/2568`).
		The model can either be a pretrained model like `en_core_web_lg`, `bart-large-mnli`... but also one of your custom transformers-based models, or spaCy models, using `custom_model/<model id>` (e.g. `custom_model/2568`).

		@@ -171,3 +171,3 @@ Your token can be retrieved from your [NLP Cloud dashboard](https://nlpcloud.io/home/token).

		Call the `libVersions()` method to know the versions of the libraries used behind the hood with the model (for example the spaCy version used).
		Call the `libVersions()` method to know the versions of the libraries used behind the hood with the model (for example the PyTorch, TensorFlow, or spaCy version used).

		@@ -174,0 +174,0 @@ ```js

Improved metrics