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Model: epsil/bhagvad_gita
Source: Original Platform

.gitattributes

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README.md

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+This is fine-tuned model on Bhagvad Gita and creates text based on prompts.
+Example of usage:
+
+```
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("epsil/bhagvad_gita")
+
+model = AutoModelForCausalLM.from_pretrained("epsil/bhagvad_gita")
+
+```
+Input
+```
+from transformers import pipeline
+
+pipeline = pipeline('text-generation',model=model, tokenizer=tokenizer)
+
+result = samples('Krishna show me the right path')[0]['generated_text']
+print(result)
+
+```
+
+Output
+```
+Krishna show me the right path, and I also to remember the lessons, and to remember them right.
+
+Sama! in His Day, and by Thy own Eternal Grace.
+
+A man like that who shall come to us
+
+```
+
+> Created by [Saurabh Mishra](https://www.linkedin.com/in/saurabh-mishra-12b5a1216/)
+
+> Made with <span style="color: #e25555;">&hearts;</span> in India
+

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "resid_pdrop": 0.1,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "transformers_version": "4.2.2",
+  "use_cache": true,
+  "vocab_size": 50257
+}

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pytorch_model.bin

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special_tokens_map.json

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+{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}

tokenizer_config.json

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+{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "name_or_path": "gpt2"}