Instructions to use njprogrammer/goemotion-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use njprogrammer/goemotion-BERT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("njprogrammer/goemotion-BERT") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use njprogrammer/goemotion-BERT with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("njprogrammer/goemotion-BERT") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
File size: 1,931 Bytes
fbd264a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 | {
"_name_or_path": "C:\\Users\\njpark/.cache\\torch\\sentence_transformers\\monologg_bert-base-cased-goemotions-original",
"architectures": [
"BertModel"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"finetuning_task": "goemotions",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "admiration",
"1": "amusement",
"2": "anger",
"3": "annoyance",
"4": "approval",
"5": "caring",
"6": "confusion",
"7": "curiosity",
"8": "desire",
"9": "disappointment",
"10": "disapproval",
"11": "disgust",
"12": "embarrassment",
"13": "excitement",
"14": "fear",
"15": "gratitude",
"16": "grief",
"17": "joy",
"18": "love",
"19": "nervousness",
"20": "optimism",
"21": "pride",
"22": "realization",
"23": "relief",
"24": "remorse",
"25": "sadness",
"26": "surprise",
"27": "neutral"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"admiration": 0,
"amusement": 1,
"anger": 2,
"annoyance": 3,
"approval": 4,
"caring": 5,
"confusion": 6,
"curiosity": 7,
"desire": 8,
"disappointment": 9,
"disapproval": 10,
"disgust": 11,
"embarrassment": 12,
"excitement": 13,
"fear": 14,
"gratitude": 15,
"grief": 16,
"joy": 17,
"love": 18,
"nervousness": 19,
"neutral": 27,
"optimism": 20,
"pride": 21,
"realization": 22,
"relief": 23,
"remorse": 24,
"sadness": 25,
"surprise": 26
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.30.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}
|