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--- |
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license: apache-2.0 |
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datasets: |
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- techiaith/cofnodycynulliad_en-cy |
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- BangorAI/hysbysiadau-llyw-cymru-1 |
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language: |
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- cy |
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--- |
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Mae'r model LLM yn seiliedig ar [BangorAI/mistral-7b-cy-epoch-2](https://huggingface.co/BangorAI/mistral-7b-cy-epoch-2), sef y model Mistral-7B wedi hyfforddiant parhaus ar gyfer y Gymraeg. |
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Cafodd y model hyfforddiant cywrain pellach ar y cyfeithiadau canlynol: |
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* data [Cofnod y Cynulliad](https://huggingface.co/techiaith/cofnodycynulliad_en-cy) wedi’u paratoi gan [TechIaith](https://huggingface.co/techiaith) |
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* data [Hysbysiadau Llywodraeth Cymru](https://www.llyw.cymru/hysbysiadau) yn archif [BangorAI/hysbysiadau-llyw-cymru-1](https://huggingface.co/BangorAI/hysbysiadau-llyw-cymru-1) |
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## Demo |
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Gallwch roi gynnig ar esiampl o'r model yma: [https://demo.bangor.ai/](https://demo.bangor.ai/) |
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### Fformat Sgwrs |
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Mae'r hyfforddiant cywrain wedi defnyddio'r fformat canlynol ar gyfer trosi o'r Saesneg i'r Gymraeg: |
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``` |
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Cyfieithwch y testun Saesneg canlynol i'r Gymraeg. |
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### Saesneg: |
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{prompt} |
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### Cymraeg: |
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``` |
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a'r naill ffordd i'r llall: |
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``` |
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Translate the following Welsh text to English. |
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### Welsh: |
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{prompt} |
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### English: |
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``` |
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## Sut i'w ddefnyddio |
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Mae'r model Mistral-7B-v-0.1 sy'n tanseilio'r model yma yn defnyddio ffenestr cyd-destun maint 4k, felly mae'n ofyniad i becynnu'r testyn fesul paragraff a'u bwydo i mewn i'r LLM yn eu tro. |
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Dyma enghraifft mewn Python: |
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``` |
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import transformers |
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device="cuda" |
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model_name = 'BangorAI/cyfieithydd-7b-fersiwn-3' |
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model = transformers.AutoModelForCausalLM.from_pretrained(model_name, load_in_8bit=True) |
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tokenizer = transformers.AutoTokenizer.from_pretrained(model_name) |
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def generate_response(text): |
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# Format the input using the provided template |
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prompt = f"Cyfieithwch y testun Saesneg canlynol i'r Gymraeg.\n\n### Saesneg:\n{text}\n\n### Cymraeg:\n" |
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# Tokenize and encode the prompt |
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inputs = tokenizer.encode(prompt, return_tensors="pt", add_special_tokens=False).to(device) |
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# Generate a response |
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outputs = model.generate(inputs, max_length=1000, num_return_sequences=1, do_sample=True, temperature=0.01) |
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response = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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return response |
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text="""The extension of the Flying Start programme is part of a phased expansion of early years provision to all two-year-olds in Wales, with a particular emphasis on strengthening Welsh-medium provision. This is a commitment in the Co-operation Agreement between the Welsh Government and Plaid Cymru.""" |
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response = generate_response(text) |
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print(response) |
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``` |
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## Hawlfraint |
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Mae'r data Cofnod y Cynulliad ac Hysbysiadau Llywodreath Cymru dan [Drwydded Llywodraeth Agored](https://www.nationalarchives.gov.uk/doc/open-government-licence-cymraeg/version/3/). |
