nlpcloud - npm Package Compare versions

Comparing version 1.0.12 to 1.0.13

index.js

		@@ -39,4 +39,5 @@ const axios = require('axios')
		generation(text, minLength = null, maxLength = null, lengthNoInput = null,
		endSequence = null, removeInput = null, topK = null, topP = null,
		temperature = null, repetitionPenalty = null, lengthPenalty = null) {
		endSequence = null, removeInput = null, doSample = null, numBeams = null, earlyStopping = null,
		noRepeatNgramSize = null, numReturnSequences = null, topK = null, topP = null,
		temperature = null, repetitionPenalty = null, lengthPenalty = null, badWords = null) {
		const payload = {
		@@ -49,2 +50,7 @@ 'text': text,
		'remove_input': removeInput,
		'do_sample': doSample,
		'num_beams': numBeams,
		'early_stopping': earlyStopping,
		'no_repeat_ngram_size': noRepeatNgramSize,
		'num_return_sequences': numReturnSequences,
		'top_k': topK,
		@@ -54,3 +60,4 @@ 'top_p': topP,
		'repetition_penalty': repetitionPenalty,
		'length_penalty': lengthPenalty
		'length_penalty': lengthPenalty,
		'bad_words': badWords
		};
		@@ -57,0 +64,0 @@

package.json

		{
		"name": "nlpcloud",
		"version": "1.0.12",
		"version": "1.0.13",
		"description": "NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, text generation, question answering, machine translation, language detection, tokenization, POS tagging, and dependency parsing. It is ready for production, served through a REST API.\n\nThis is the Node.js client for the NLP Cloud API.\n\nMore details here: https://nlpcloud.io\n\nDocumentation: https://docs.nlpcloud.io",
		@@ -5,0 +5,0 @@ "main": "index.js",

README.md

		@@ -140,2 +140,7 @@ # Node.js Client For NLP Cloud
		1. (Optional) `removeInput`: Whether you want to remove the input text form the result, as a boolean. Defaults to false.
		1. (Optional) `doSample`: Whether or not to use sampling ; use greedy decoding otherwise, as a boolean. Defaults to true.
		1. (Optional) `numBeams`: Number of beams for beam search. 1 means no beam search. This is an integer. Defaults to 1.
		1. (Optional) `earlyStopping`: Whether to stop the beam search when at least num_beams sentences are finished per batch or not, as a boolean. Defaults to false.
		1. (Optional) `noRepeatNgramSize`: If set to int > 0, all ngrams of that size can only occur once. This is an integer. Defaults to 0.
		1. (Optional) `numReturnSequences`: The number of independently computed returned sequences for each element in the batch, as an integer. Defaults to 1.
		1. (Optional) `topK`: The number of highest probability vocabulary tokens to keep for top-k-filtering, as an integer. Maximum 1000 tokens. Defaults to 0.
		@@ -146,3 +151,5 @@ 1. (Optional) `topP`: If set to float < 1, only the most probable tokens with probabilities that add up to top_p or higher are kept for generation. This is a float. Should be between 0 and 1. Defaults to 0.7.
		1. (Optional) `lengthPenalty`: Exponential penalty to the length, as a float. 1.0 means no penalty. Set to values < 1.0 in order to encourage the model to generate shorter sequences, or to a value > 1.0 in order to encourage the model to produce longer sequences. Defaults to 1.0.
		1. (Optional) `badWords`: List of tokens that are not allowed to be generated, as a list of strings. Defaults to null.


		```js
		@@ -149,0 +156,0 @@ client.generation("<Your input text>")

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