RajuKandasamy
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Browse filesInitial draft commit
- README.md +32 -1
- config.json +32 -0
- generation_config.json +8 -0
- infer.py +13 -0
- model.safetensors +3 -0
- requirements.txt +1 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +48 -0
README.md
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---
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license: gpl-3.0
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-
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---
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license: gpl-3.0
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language:
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- ta
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inference:
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parameters:
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max_new_tokens: 250
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repetition_penalty: 1.4
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do_sample: True
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temperature: 0.01 # Added to match the script's generation behavior
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widget:
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- text: |
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இன்னாமை வேண்டின்
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example_title: "Venba 1"
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- text: |
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பாடல்:
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நின்றன நின்றன நில்லாகும்
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example_title: "Venba 2"
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- text: |
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பாடல்:
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துகள்தீர் பெருஞ்செல்வம்
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example_title: "Venba 3"
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- text: |
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பாடல்:
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கொங்குதேர் வாழ்க்கை அஞ்சிறைத் தும்பி
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example_title: "Venba 4"
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- text: |
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பாடல்:
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செல்வத்துட் செல்வம்
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example_title: "Venba 5"
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- text: |
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வேதம் உரைத்தானும் வேதிய னாகிலன்
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example_title: "Venba 6"
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---
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config.json
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{
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"_name_or_path": "marabutamil_60M",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 16,
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"num_key_value_heads": 16,
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"pad_token_id": 3,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"factor": 2.0,
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"type": "linear"
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},
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.37.1",
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"use_cache": false,
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"vocab_size": 16000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 3,
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"transformers_version": "4.37.1",
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"use_cache": false
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}
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infer.py
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("./")
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model = AutoModelForCausalLM.from_pretrained("./")
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#prompt = f"""பாடல்:
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#நின்றன நின்றன நில்லா"""
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prompt = f"""இன்னாமை வேண்டின்"""
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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generation_output = model.generate(
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input_ids=input_ids, max_new_tokens=256, repetition_penalty=1.4, temperature=0.01, do_sample=False
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)
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print(tokenizer.decode(generation_output[0]))
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:99f6dd3a7503c06bf0b1c2ddd5ebefc882dc205c157d46038bb476f521a14634
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size 233392032
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requirements.txt
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transformers==4.37.1
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:35aa85f6a206e8778db8de1066b107153476a4c079ef7e8e8a8b121991090fc0
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size 651581
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"max_length": 1024,
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"model_max_length": 1000000000000000019884624838656,
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"pad_to_multiple_of": null,
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"pad_token": "</s>",
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"pad_token_type_id": 0,
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"padding_side": "left",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"stride": 0,
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"tokenizer_class": "LlamaTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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