initial commit

README.md

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+---
+language: sv
+
+widget:
+    - text: "Jag har ätit en <mask>"
+---
+
+## KB-BART
+
+**EXPERIMENTAL:** still work in progress.
+
+BART trained on Swedish data. 
+
+
+## Usage
+
+```python
+from transformers import BartForConditionalGeneration, PreTrainedTokenizerFast
+from transformers import pipeline
+
+model = BartForConditionalGeneration.from_pretrained("KBLab/bart-base-swedish-cased")
+tok = PreTrainedTokenizerFast(
+    tokenizer_file="tokenizer.json",
+    bos_token="<s>",
+    eos_token="</s>",
+    unk_token="<unk>",
+    pad_token="<pad>",
+    mask_token="<mask>",
+    cls_token="</s>",
+    sep_token="</s>",
+)
+
+model.eval()
+
+input_ids = tok.encode(
+    "Jag har ätit en utsökt <mask> på restaurang vid <mask> .", return_tensors="pt"
+)
+
+
+# Simple greedy search
+output_ids = model.generate(
+    input_ids,
+    min_length=15,
+    max_length=25,
+    num_beams=1,
+    do_sample=False,
+)
+tok.decode(output_ids[0])
+# '</s><s> Jag har ätit en utsökt middag på restaurang vid havet på restaurang vid havet på restaurang vid havet.</s>'
+
+
+# Sampling
+output_ids = model.generate(
+    input_ids,
+    min_length=15,
+    max_length=20,
+    num_beams=1,
+    do_sample=True,
+)
+tok.decode(output_ids[0])
+#'</s><s> Jag har ätit en utsökt god mat som de tagit in på restaurang vid avröjda</s>'
+
+
+# Beam search
+output_ids = model.generate(
+    input_ids,
+    min_length=15,
+    max_length=25,
+    no_repeat_ngram_size=3,
+    num_beams=8,
+    early_stopping=True,
+    do_sample=True,
+    num_return_sequences=6
+)
+tok.decode(output_ids[0])
+# '</s><s> Jag har ätit en utsökt middag på restaurang vid havet. Jag har varit ute och gått en sväng.</s><pad><pad>'
+
+
+# Diverse beam generation
+output_ids = model.generate(
+    input_ids,
+    min_length=50,
+    max_length=100,
+    no_repeat_ngram_size=3,
+    num_beams=8,
+    early_stopping=True,
+    do_sample=False,
+    num_return_sequences=6,
+    num_beam_groups=6,
+    diversity_penalty=2.0,
+)
+tok.decode(output_ids[0])
+# '</s><s> Jag har ätit en utsökt middag på restaurang vid havet. Jag har varit ute och gått en sväng.</s><pad><pad>'
+
+```

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "BartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_position_embeddings": 1024,
+  "model_type": "bart",
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.12.3",
+  "use_cache": true,
+  "vocab_size": 50185
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f740768be24a442236315bcad0804f5f15c9ac452e6b2f6d80e89f088b2e21f2
+size 557735955

special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "</s>", "mask_token": "<mask>"}

tokenizer_config.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "cls_token": "</s>", "sep_token": "</s>", "tokenizer_class": "PreTrainedTokenizerFast"}