replaced AutoTokenizer/AutoModelForMaskedLM with#361
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direct imports of NicheformerTokenizer/NicheformerForMaskedLM, no trust_remote_code
avoid this by using our local model location
1. PAD/MASK inversion in the tokeniser 2. Attention map - fixing wrong attribute 3. LICENSE fix - taking it from HF, not GH 4. Masking copy fix
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direct imports of NicheformerTokenizer/NicheformerForMaskedLM, no trust_remote_code
TODO, solve mismatch of padding token:
tokenization_nicheformer.py -> PAD = 0 | MASK = 1
masking.py -> PAD = 1 | MASK = 0