commit files to HF hub

README.md

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+---
+language:
+- en
+tags:
+- openvino
+---
+
+# Salesforce/codegen2-1B
+
+This is the [Salesforce/codegen2-1B](https://huggingface.co/Salesforce/codegen2-1B) model converted to [OpenVINO](https://openvino.ai), for accellerated inference.
+
+An example of how to do inference on this model:
+```python
+from optimum.intel.openvino import OVModelForCausalLM
+from transformers import AutoTokenizer, pipeline
+
+# model_id should be set to either a local directory or a model available on the HuggingFace hub.
+model_id = "helenai/Salesforce-codegen2-1B-ov"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = OVModelForCausalLM.from_pretrained(model_id)
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+result = pipe("My name is Julien and I like to")
+print(result)
+```
+

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config.json

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+{
+  "_name_or_path": "Salesforce/codegen2-1B",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "CodeGenForCausalLM"
+  ],
+  "attn_pdrop": 0.0,
+  "auto_map": {
+    "AutoConfig": "Salesforce/codegen2-1B--configuration_codegen.CodeGenConfig",
+    "AutoModel": "Salesforce/codegen2-1B--modeling_codegen.CodeGenModel",
+    "AutoModelForCausalLM": "Salesforce/codegen2-1B--modeling_codegen.CodeGenForCausalLM"
+  },
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "head_dim": 128,
+  "initializer_range": 0.02,
+  "is_decoder": true,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "codegen",
+  "n_ctx": 2048,
+  "n_embd": 2048,
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 16,
+  "n_positions": 2048,
+  "resid_pdrop": 0.0,
+  "rotary_dim": 64,
+  "scale_attn_weights": true,
+  "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,
+      "temperature": 1.0
+    }
+  },
+  "tie_word_embeddings": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.2",
+  "trust_remote_code": true,
+  "use_cache": true,
+  "vocab_size": 51200
+}

inference.py

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+from optimum.intel.openvino import OVModelForCausalLM
+from transformers import AutoTokenizer, pipeline
+
+# model_id should be set to either a local directory or a model available on the HuggingFace hub.
+model_id = "helenai/Salesforce-codegen2-1B-ov"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = OVModelForCausalLM.from_pretrained(model_id)
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+result = pipe("My name is Julien and I like to")
+print(result)

openvino_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:70315c5dbc14f5011e278fac84a42e177aabd134a23cf723b207aeab2c2c364c
+size 4065419492

special_tokens_map.json

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

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}