Fixed issues in the Hybrid quantization notebook (huggingface#770)

* Fixed issues in the Hybrid quantization notebook

* Fixed another failing notebook

Author: AlexKoff88

notebooks/openvino/optimum_openvino_inference.ipynb

@@ -539,7 +539,7 @@
     "ov_pipe = pipeline(\"audio-classification\", model=model, feature_extractor=feature_extractor)\n",
     "\n",
     "# streaming=true enables loading one item from the dataset without downloading the full dataset\n",
-    "dataset = load_dataset(\"speech_commands\", \"v0.02\", streaming=True)\n",
+    "dataset = load_dataset(\"speech_commands\", \"v0.02\", streaming=True, trust_remote_code=True)\n",
     "audio_sample = next(iter(dataset[\"test\"]))"
    ]
   },
@@ -894,8 +894,8 @@
     "from transformers import AutoTokenizer, pipeline\n",
     "\n",
     "model_id = \"helenai/t5-small-ov\"\n",
-    "model = OVModelForSeq2SeqLM.from_pretrained(model_id, compile=False)\n",
-    "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
+    "model = OVModelForSeq2SeqLM.from_pretrained(model_id, compile=False, trust_remote_code=True)\n",
+    "tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)\n",
     "\n",
     "input_ids = tokenizer(\"translate English to German: This house is wonderful.\", return_tensors=\"pt\").input_ids\n",
     "outputs = model.generate(input_ids, max_new_tokens=10)\n",