<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a generic chatbot that always answers in Akan.<|eot_id|><|start_header_id|>user<|end_header_id|>

Dɛn na ɛyɛ ɔkwan pa a bɛsɛ sɛ yɛma BERT Language model ba python (PyTorch) mu?<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Nsɛmmisa a ɛmfata sɛ wɔma BERT nkyerɛase mu yɛ Python mu de bɛtwɛn PyTorch ne Hugging Face Transformer's library, a ɛde pre-training, inference, ne deployment of BERT.  ``` from transformers import AutoTokenizer, BertModel import torch  tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased") model = BertModel.from_pretrained("bert-base-uncased") inputs = tokenizer("Hello, my dog is cute", return_tensors="pt") outputs = model(**inputs)  last_hidden_states = outputs.last_hidden_state ```<|eot_id|>